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This document outlines a project to analyze crime data from New York City, including complaints, arrests, court summons, and prison admissions. The group aims to visualize and analyze the data to gain insights into crime trends and patterns over time and across the five boroughs of NYC. They plan to perform comparative analyses of the different datasets and create monthly trend analyses, identify the top 10 crimes, analyze crimes by borough, and generate a heatmap of arrests. The group acknowledges some hurdles around data retrieval, code sharing, data loss, and future adaptability that they had to address during the project.
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analysis. We use classification models, namely, Logistic Regression, Random Forest, Gradient Boosting
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strategies. Further, we use a graph based unsupervised machine learning technique called core periphery
structures to analyze how crime behavior evolves over time. These methods can be generalized to use for
different counties and can be greatly helpful in planning police task forces for law enforcement and crime
prevention.
SUPERVISED AND UNSUPERVISED MACHINE LEARNING METHODOLOGIES FOR CRIME PATTERN ...
Crime is a grave problem that affects all countries in the world. The level of crime in a country has a big
impact on its economic growth and quality of life of citizens. In this paper, we provide a survey of trends of
supervised and unsupervised machine learning methods used for crime pattern analysis. We use a spatiotemporal dataset of crimes in San Francisco, CA to demonstrate some of these strategies for crime
analysis. We use classification models, namely, Logistic Regression, Random Forest, Gradient Boosting
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strategies. Further, we use a graph based unsupervised machine learning technique called core periphery
structures to analyze how crime behavior evolves over time. These methods can be generalized to use for
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Running head: POLICE ORGANIZATIONAL STRUCTURE AND OPERATIONS
POLICE ORGANIZATIONAL STRUCTURE AND OPERATIONS 5
Police Organizational Structure and Operations
Rashieda NasifDavis
Argosy University
Research proposal.
In this proposal, I have chosen the area of the police organizational structure and the operations even more specifically, the research will focus on technology and policing. In this area, the research will focus on the problem of whether police technology has made any positive impacts on the crime reduction (Archbold, 2013). It has been known that technology has grown in almost all sectors, but despite this, here has also been an increase in the crime rates not only in the United States alone but in the world in general. This is despite the fact that the policing services have been spending billions of dollars each year in the development of technology that will enable them combat this problem of insecurity that threatens to bring down most of the economies due to the fact that even the potential investors will not put money in places that they fear. For this reason, I decided to choose this topic because in my own opinion it has weigh in the current world of technology and crime with the rise of the computer age and the cyber-crimes (Langeluttig, Albert, 1997)
Objectives.
In this case the main objectives of the research include determining by how much technology has impacted on crime rates in the past 10 years, knowing the advantages of technology on the policing services and some of the challenges technology has brought in the policing services.
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Literature review.
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of organizational entities where the manifestation of multiple inputs and outputs makes comparison
difficult. Efficiency was measured through data envelopment analysis in Philippine National Police District
VI in the Province of Cavite to measure the performance of decision-making units in terms of their
resources. Clustering is the process of grouping and analyzing the list of objects which have similar
characteristics. Clustering algorithm is used in this study to help identify crime pattern. The clustering
algorithm was implemented in the application software Crime Management System (CriMS) to predict the
crime pattern to help Philippine National Police District VI in the Province of Cavite in decreasing the
total number of crime volume and increase the number of crimes solved to countervail security concerns of
an individual, community, and the state. Further studies must be conducted to determine the usefulness of
the application software by leading to an empirical study on the rule set used to determine the predictive
accuracy and/or software productivity.
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The document summarizes a study that used data envelopment analysis and clustering analysis to evaluate the performance of police stations in Cavite, Philippines and identify crime patterns. Data envelopment analysis was used to measure the efficiency of four police stations based on inputs like staffing and outputs like crime solved. K-means clustering analyzed crime data to group similar crimes and identify trends over 2014-2016. The analysis found theft to be the most common crime from 2014-2015 while murder was most common in 2016. The tools helped identify how resources could be optimized and predict future crime trends.
APPLYING DATA ENVELOPMENT ANALYSIS AND CLUSTERING ANALYSIS IN ENHANCING THE P...
Data envelopment analysis is a technique or method for assessing and evaluating the relative performance of organizational entities where the manifestation of multiple inputs and outputs makes comparison difficult. Efficiency was measured through data envelopment analysis in Philippine National Police District VI in the Province of Cavite to measure the performance of decision-making units in terms of their resources. Clustering is the process of grouping and analyzing the list of objects which have similar characteristics. Clustering algorithm is used in this study to help identify crime pattern. The clustering algorithm was implemented in the application software Crime Management System (CriMS) to predict the crime pattern to help Philippine National Police District VI in the Province of Cavite in decreasing the total number of crime volume and increase the number of crimes solved to countervail security concerns of an individual, community, and the state. Further studies must be conducted to determine the usefulness of the application software by leading to an empirical study on the rule set used to determine the predictive accuracy and/or software productivity.
Student #1 I have chosen to write about the history of data anal.docx
Student #1
I have chosen to write about the history of data analysis for the Los Angeles Police Department. While I currently reside in Colorado Springs, Colorado and work as a deputy sheriff in Denver, Colorado I grew up in the greater Los Angeles area and I know that they should have a large amount of data to draw from.
Currently the Los Angeles Police Department uses COMPSTAT to compile their data. They have a unit, known as the COMPSTAT unit, whose sole job is to compile crime statistics and analyze the data (Los Angeles Police Department, 2016) COMPSTAT is short for computer statistics. COMPSTAT was developed by Police Commissioner William Bratton in 1994 for use by the New York Police Department. According to the University of Maryland by the year 2000 over a third of police agencies with over 100 officers were utilizing some sort of COMPSTAT like program (University of Maryland, 2015). In 2002 William Bratton became the Chief of Police for the Los Angeles Police Department and brought with him the concept of COMPSTAT. During the first six years of his tenure Los Angeles saw a steady decrease in the cities crime rates thanks largely in part to COMPSTAT policing.
Mean, mode and median play a large part in analyzing criminal data. The mean is the average number. An example of this for crime data analysis would be in neighborhood C there was 14 robberies committed on Monday between 1 and 3 AM, 17 robberies on Tuesday at the same time period and 9 on Wednesday during the same time period. The mean would be 13.3 robberies per night for those 3 nights. Knowing this is high for the city the data could be used to justify extra police presence in Neighborhood C. An example of the mode would be if in the same neighborhood in the same week there were 17 robberies on both Friday and Saturday, 12 on Thursday and 11 on Sunday. The mode would be 17 and it would also be a reason to add extra police presence in the neighborhood until a significant decrease was seen in the amount of robberies taking place. Finally we come to the median. This is simply line the numbers up for the week and take the number that falls in the middle. In the case of the robberies occurring in neighborhood C the number would be 14. All of this data can be combined to show watch commanders and captain’s areas where they should be focusing their officer’s time. If there is a neighborhood that has seen only one or two robberies during the week, it is definitely not in as much need of a heavy police presence as Neighborhood C is.
Student #2
Beginning in the mid-1990’s, police in New York began to run statistical analysis of the city’s crime reports, arrests and other police activity known as COMPSTAT. Law enforcement agencies since this analysis began, has implemented their own data-driven approaches to tracking and adapting to crime trends. The LAPD is both heavily armed and thoroughly computerized. The Real-Time Analysis and Critical Response Division is its central processor..
Analytics anecdotes
Anecdotes about real life usage of Analytics - research done on Google, hence no claims on accuracy. Please use this as a directional insights into the applications and benefits.
Machine Learning Approaches for Crime Pattern Detection
This document discusses machine learning approaches for predicting crime patterns. It begins by stating the large number of violent crimes in the US and explaining that predicting crimes can help avoid them and ensure better resource allocation. It then discusses existing crime prediction systems like PredPol and the general crime prediction process of data gathering, classification/clustering, and prediction. It provides various methods for data gathering, like crime records, social media, IoT devices, and newspapers. It also discusses clustering algorithms like k-means that can be used. Finally, it notes that PredPol has achieved a 22.7% reduction in crimes in one area, but that combining additional techniques like machine learning, big data analysis, and image processing could further improve crime prediction.
Walker, Chapter 15
The document discusses several key trends and technologies impacting modern policing in America. It outlines technologies like computer-aided dispatch systems, mobile computing, and license plate readers that help police share information and prioritize calls. Crime analysis functions like tactical analysis of specific crime problems and strategic analysis of long-term trends are also described. The outlook discusses demographic changes, the impact of the war on terrorism, and personnel shortages challenging police.
Chicago Crime Analysis
This document discusses using machine learning techniques like clustering and decision trees to analyze crime data from Chicago between 2014-2016. It aims to identify crime hot spots and patterns to help police allocate resources more efficiently. The document applies k-means clustering to crime data grouped by location and type, identifying a "vice" cluster with crimes like prostitution and drugs in two adjacent wards. It suggests police could use temporal and hourly crime patterns from the analysis to optimize staff scheduling and deployment. The document also discusses using decision trees and k-nearest neighbors algorithms on the crime data supplemented with temperature and unemployment data to further explore crime patterns.
Written Response Submission FormYour Name First and last.docx
Written Response Submission Form
Your Name: First and last
Your E-Mail Address: Your e-mail hereInstructions
Write your responses where it reads “Enter your response here....” Write as much as needed to satisfy the requirements indicated. Each item contains the Rubric that will be used to evaluate your responses.
At the end of the template, you will list the references you used to support your responses.
Item 1
Examine the past 10 years of crime data in the Uniform Crime Report (UCR) and the National Crime Victimization Survey (NCVS). Identify three crime trends from the data (2–4 paragraphs).Your Response
Enter your response here.Rubric
013
Failing
1415
Needs Improvement
1620
Meets Expectations
Sub-Competency 1: Analyze crime and victimization data
Identify three trends in crime from the past 10 years of UCR and NCVS data.
Response is missing.
Response describes fewer than three trends, or the description of trends contains inaccuracies or is vague.
Response includes a clear explanation of three crime/victimization trends from the past decade identified from the UCR and/or NCVS databases.
Item 2
What are the strengths and weaknesses of each data source (the UCR and NCVS databases)? Consider their accuracy, coverage, applicability, collection methods, and any other characteristic you think is important to consider. Explain at least two strengths and two weaknesses of the databases (2–3 paragraphs).
Your Response
Enter your response here.Rubric
013
Failing
1415
Needs Improvement
1620
Meets Expectations
Sub-Competency 2: Assess strengths and weaknesses of criminological data sources.
Explain two strengths of the UCR and/or NCVS databases.
Response is missing.
Response is vague, lacking detail, or contains inaccuracies.
Response provides an explanation of at least two strengths of the databases. The explanation demonstrates thorough consideration of research design, collection techniques, dissemination strategies, and applicability within the field.
Explain two weaknesses of the UCR and/or NCVS databases.
Response is missing.
Response is vague, lacking detail, or contains inaccuracies.
Response provides an explanation of at least two weaknesses of the databases. The explanation demonstrates thorough consideration of research design, collection techniques, dissemination strategies, and applicability within the field.
Item 3
What criminological explanations for your identified crime trends can be derived from the UCR and/or NCVS databases? Describe at least two. Then provide an argument for other factors and variables (biological, social, structural, economic, etc.) that cause or influence your identified crime trends that are not present in the UCR/NCVS data. Reference theoretical and scholarly resources that support your criminological explanations (3–5 paragraphs).
Your Response
Enter your response here.Rubric
013
Failing
1415
Needs Improvement
1620
Meets Expectations
Sub-Competency 3: Assess correlative and causative relation ...
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办理南昆士兰大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理南昆士兰大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理南昆士兰大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
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San Francisco Crime Analysis Classification Kaggle contest
This document presents a project to analyze and predict crime in San Francisco using data mining techniques. The objectives are to analyze the spatial and temporal relationships of crime, predict the category of crime in a location based on variables like location and date, and suggest safest paths between places. The authors describe using naive Bayes, decision tree, random forest and support vector machine classifiers on a dataset of over 878,000 crime incidents to classify crimes and identify patterns. Cross-validation is used to evaluate the classifiers on the training data. The results are intended to help the police department understand crime patterns and deploy resources more efficiently.
An Intelligence Analysis of Crime Data for Law Enforcement Using Data Mining
The concern about national security has increased significantly since the 26/11 attacks at Mumbai, India. However, information and technology overload hinders the effective analysis of criminal and terrorist activities. Data mining applied in the context of law enforcement and intelligence analysis holds the promise of alleviating such problem. In this paper we use a clustering/classify based model to anticipate crime trends. The data mining techniques are used to analyze the city crime data from Tamil Nadu Police Department. The results of this data mining could potentially be used to lessen and even prevent crime for the forth coming years
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Supervised and Unsupervised Machine Learning Methodologies for Crime Pattern ...
Crime is a grave problem that affects all countries in the world. The level of crime in a country has a big
impact on its economic growth and quality of life of citizens. In this paper, we provide a survey of trends of
supervised and unsupervised machine learning methods used for crime pattern analysis. We use a spatiotemporal dataset of crimes in San Francisco, CA to demonstrate some of these strategies for crime
analysis. We use classification models, namely, Logistic Regression, Random Forest, Gradient Boosting
and Naive Bayes to predict crime types such as Larceny, Theft, etc. and propose model optimization
strategies. Further, we use a graph based unsupervised machine learning technique called core periphery
structures to analyze how crime behavior evolves over time. These methods can be generalized to use for
different counties and can be greatly helpful in planning police task forces for law enforcement and crime
prevention.
SUPERVISED AND UNSUPERVISED MACHINE LEARNING METHODOLOGIES FOR CRIME PATTERN ...
Crime is a grave problem that affects all countries in the world. The level of crime in a country has a big
impact on its economic growth and quality of life of citizens. In this paper, we provide a survey of trends of
supervised and unsupervised machine learning methods used for crime pattern analysis. We use a spatiotemporal dataset of crimes in San Francisco, CA to demonstrate some of these strategies for crime
analysis. We use classification models, namely, Logistic Regression, Random Forest, Gradient Boosting
and Naive Bayes to predict crime types such as Larceny, Theft, etc. and propose model optimization
strategies. Further, we use a graph based unsupervised machine learning technique called core periphery
structures to analyze how crime behavior evolves over time. These methods can be generalized to use for
different counties and can be greatly helpful in planning police task forces for law enforcement and crime
prevention.
Running head POLICE ORGANIZATIONAL STRUCTURE AND OPERATIONSPOLI.docx
Running head: POLICE ORGANIZATIONAL STRUCTURE AND OPERATIONS
POLICE ORGANIZATIONAL STRUCTURE AND OPERATIONS 5
Police Organizational Structure and Operations
Rashieda NasifDavis
Argosy University
Research proposal.
In this proposal, I have chosen the area of the police organizational structure and the operations even more specifically, the research will focus on technology and policing. In this area, the research will focus on the problem of whether police technology has made any positive impacts on the crime reduction (Archbold, 2013). It has been known that technology has grown in almost all sectors, but despite this, here has also been an increase in the crime rates not only in the United States alone but in the world in general. This is despite the fact that the policing services have been spending billions of dollars each year in the development of technology that will enable them combat this problem of insecurity that threatens to bring down most of the economies due to the fact that even the potential investors will not put money in places that they fear. For this reason, I decided to choose this topic because in my own opinion it has weigh in the current world of technology and crime with the rise of the computer age and the cyber-crimes (Langeluttig, Albert, 1997)
Objectives.
In this case the main objectives of the research include determining by how much technology has impacted on crime rates in the past 10 years, knowing the advantages of technology on the policing services and some of the challenges technology has brought in the policing services.
Effectiveness of Police technology on Crime Reduction in U.S.A.
Literature review.
In this research problem, I am going focus on the issue of the police technology, then the issue of crime in the United States of America and finally, how the technology has impacted the crime. The police department has put into use many different technologies in order to accomplish the overall mission (Batten, Donna, 2010). The only technology that has put concerns on the police is the social media. In particular the app called Waze that is able to show the location of police officer. This allows those with the criminal intent to avoid capture (Fischer, Claude, 2012). But even as this complicates the work of the police, the users always leave behind a trail that can be followed to their arrest. This is because, the most effective police do not lack the muscle for such crimes. The rapid development of technology that can lead to criminal intents has also led to the quick adaptation of the police departments in development of better, exiting and more innovative tools for the service (Steven D. 2004).
In a statement by David Roberts, a senior program manager for technology center at the International Association of Chiefs of Police, there are a lot of issues that face the law enforcers and in almost all the situations, there has been use of technology in handling them. The technology is e ...
Analysis of Crime Big Data using MapReduce
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> Which hour has the highest crime count?
> Which shift has the highest crime count?
> Year wise crime count
> Hour wise crime count
> Crime count by an offense
> Average of Shift wise crime count
The data was initially stored in MySql which was then moved to HDFS using SQOOP, from where 4 MapReduce operations are doing using JAVA in Eclipse IDE. The outputs of the queries are then moved to HBase using SQOOP. Two more MapReduce operations are done using PIG, the output of which is also moved to HBase using SQOOP. All the outputs were then moved to the local system and are visualized using RStudio and Tableau.
Tools used:
> MySQL, HDFS and HBase to store the data
> SCOOP to move the data from one database to another
> JAVA (Eclipse IDE) and PIG to run the MapReduce queries
> RStudio for data pre-processing and visualization
> Tableau for visualization
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Visual Analytics for Cime e aprendizado de maquina
This document discusses visual analytics techniques for crime analysis and decision support. It provides an overview of using data visualization and interactive graphics to help law enforcement analyze large amounts of crime data from multiple sources. The document outlines different types of crime data that can be analyzed, including statistical, textual, multimedia, and spatiotemporal data. It also reviews several open-source and proprietary visualization toolkits that have been used for crime analysis, such as D3 and the Visualization Toolkit. The goal of visual analytics for crime is to turn large volumes of data into useful knowledge that can help prevent crimes and support decision making.
APPLYING DATA ENVELOPMENT ANALYSIS AND CLUSTERING ANALYSIS IN ENHANCING THE P...
Data envelopment analysis is a technique or method for assessing and evaluating the relative performance of organizational entities where the manifestation of multiple inputs and outputs makes comparison difficult. Efficiency was measured through data envelopment analysis in Philippine National Police District VI in the Province of Cavite to measure the performance of decision-making units in terms of their
resources. Clustering is the process of grouping and analyzing the list of objects which have similar characteristics. Clustering algorithm is used in this study to help identify crime pattern. The clustering algorithm was implemented in the application software Crime Management System (CriMS) to predict the
crime pattern to help Philippine National Police District VI in the Province of Cavite in decreasing the total number of crime volume and increase the number of crimes solved to countervail security concerns of an individual, community, and the state. Further studies must be conducted to determine the usefulness of the application software by leading to an empirical study on the rule set used to determine the predictive accuracy and/or software productivity.
APPLYING DATA ENVELOPMENT ANALYSIS AND CLUSTERING ANALYSIS IN ENHANCING THE P...
Data envelopment analysis is a technique or method for assessing and evaluating the relative performance
of organizational entities where the manifestation of multiple inputs and outputs makes comparison
difficult. Efficiency was measured through data envelopment analysis in Philippine National Police District
VI in the Province of Cavite to measure the performance of decision-making units in terms of their
resources. Clustering is the process of grouping and analyzing the list of objects which have similar
characteristics. Clustering algorithm is used in this study to help identify crime pattern. The clustering
algorithm was implemented in the application software Crime Management System (CriMS) to predict the
crime pattern to help Philippine National Police District VI in the Province of Cavite in decreasing the
total number of crime volume and increase the number of crimes solved to countervail security concerns of
an individual, community, and the state. Further studies must be conducted to determine the usefulness of
the application software by leading to an empirical study on the rule set used to determine the predictive
accuracy and/or software productivity.
APPLYING DATA ENVELOPMENT ANALYSIS AND CLUSTERING ANALYSIS IN ENHANCING THE P...
The document summarizes a study that used data envelopment analysis and clustering analysis to evaluate the performance of police stations in Cavite, Philippines and identify crime patterns. Data envelopment analysis was used to measure the efficiency of four police stations based on inputs like staffing and outputs like crime solved. K-means clustering analyzed crime data to group similar crimes and identify trends over 2014-2016. The analysis found theft to be the most common crime from 2014-2015 while murder was most common in 2016. The tools helped identify how resources could be optimized and predict future crime trends.
APPLYING DATA ENVELOPMENT ANALYSIS AND CLUSTERING ANALYSIS IN ENHANCING THE P...
Data envelopment analysis is a technique or method for assessing and evaluating the relative performance of organizational entities where the manifestation of multiple inputs and outputs makes comparison difficult. Efficiency was measured through data envelopment analysis in Philippine National Police District VI in the Province of Cavite to measure the performance of decision-making units in terms of their resources. Clustering is the process of grouping and analyzing the list of objects which have similar characteristics. Clustering algorithm is used in this study to help identify crime pattern. The clustering algorithm was implemented in the application software Crime Management System (CriMS) to predict the crime pattern to help Philippine National Police District VI in the Province of Cavite in decreasing the total number of crime volume and increase the number of crimes solved to countervail security concerns of an individual, community, and the state. Further studies must be conducted to determine the usefulness of the application software by leading to an empirical study on the rule set used to determine the predictive accuracy and/or software productivity.
Student #1 I have chosen to write about the history of data anal.docx
Student #1
I have chosen to write about the history of data analysis for the Los Angeles Police Department. While I currently reside in Colorado Springs, Colorado and work as a deputy sheriff in Denver, Colorado I grew up in the greater Los Angeles area and I know that they should have a large amount of data to draw from.
Currently the Los Angeles Police Department uses COMPSTAT to compile their data. They have a unit, known as the COMPSTAT unit, whose sole job is to compile crime statistics and analyze the data (Los Angeles Police Department, 2016) COMPSTAT is short for computer statistics. COMPSTAT was developed by Police Commissioner William Bratton in 1994 for use by the New York Police Department. According to the University of Maryland by the year 2000 over a third of police agencies with over 100 officers were utilizing some sort of COMPSTAT like program (University of Maryland, 2015). In 2002 William Bratton became the Chief of Police for the Los Angeles Police Department and brought with him the concept of COMPSTAT. During the first six years of his tenure Los Angeles saw a steady decrease in the cities crime rates thanks largely in part to COMPSTAT policing.
Mean, mode and median play a large part in analyzing criminal data. The mean is the average number. An example of this for crime data analysis would be in neighborhood C there was 14 robberies committed on Monday between 1 and 3 AM, 17 robberies on Tuesday at the same time period and 9 on Wednesday during the same time period. The mean would be 13.3 robberies per night for those 3 nights. Knowing this is high for the city the data could be used to justify extra police presence in Neighborhood C. An example of the mode would be if in the same neighborhood in the same week there were 17 robberies on both Friday and Saturday, 12 on Thursday and 11 on Sunday. The mode would be 17 and it would also be a reason to add extra police presence in the neighborhood until a significant decrease was seen in the amount of robberies taking place. Finally we come to the median. This is simply line the numbers up for the week and take the number that falls in the middle. In the case of the robberies occurring in neighborhood C the number would be 14. All of this data can be combined to show watch commanders and captain’s areas where they should be focusing their officer’s time. If there is a neighborhood that has seen only one or two robberies during the week, it is definitely not in as much need of a heavy police presence as Neighborhood C is.
Student #2
Beginning in the mid-1990’s, police in New York began to run statistical analysis of the city’s crime reports, arrests and other police activity known as COMPSTAT. Law enforcement agencies since this analysis began, has implemented their own data-driven approaches to tracking and adapting to crime trends. The LAPD is both heavily armed and thoroughly computerized. The Real-Time Analysis and Critical Response Division is its central processor..
Analytics anecdotes
Anecdotes about real life usage of Analytics - research done on Google, hence no claims on accuracy. Please use this as a directional insights into the applications and benefits.
Machine Learning Approaches for Crime Pattern Detection
This document discusses machine learning approaches for predicting crime patterns. It begins by stating the large number of violent crimes in the US and explaining that predicting crimes can help avoid them and ensure better resource allocation. It then discusses existing crime prediction systems like PredPol and the general crime prediction process of data gathering, classification/clustering, and prediction. It provides various methods for data gathering, like crime records, social media, IoT devices, and newspapers. It also discusses clustering algorithms like k-means that can be used. Finally, it notes that PredPol has achieved a 22.7% reduction in crimes in one area, but that combining additional techniques like machine learning, big data analysis, and image processing could further improve crime prediction.
Walker, Chapter 15
The document discusses several key trends and technologies impacting modern policing in America. It outlines technologies like computer-aided dispatch systems, mobile computing, and license plate readers that help police share information and prioritize calls. Crime analysis functions like tactical analysis of specific crime problems and strategic analysis of long-term trends are also described. The outlook discusses demographic changes, the impact of the war on terrorism, and personnel shortages challenging police.
Chicago Crime Analysis
This document discusses using machine learning techniques like clustering and decision trees to analyze crime data from Chicago between 2014-2016. It aims to identify crime hot spots and patterns to help police allocate resources more efficiently. The document applies k-means clustering to crime data grouped by location and type, identifying a "vice" cluster with crimes like prostitution and drugs in two adjacent wards. It suggests police could use temporal and hourly crime patterns from the analysis to optimize staff scheduling and deployment. The document also discusses using decision trees and k-nearest neighbors algorithms on the crime data supplemented with temperature and unemployment data to further explore crime patterns.
Written Response Submission FormYour Name First and last.docx
Written Response Submission Form
Your Name: First and last
Your E-Mail Address: Your e-mail hereInstructions
Write your responses where it reads “Enter your response here....” Write as much as needed to satisfy the requirements indicated. Each item contains the Rubric that will be used to evaluate your responses.
At the end of the template, you will list the references you used to support your responses.
Item 1
Examine the past 10 years of crime data in the Uniform Crime Report (UCR) and the National Crime Victimization Survey (NCVS). Identify three crime trends from the data (2–4 paragraphs).Your Response
Enter your response here.Rubric
013
Failing
1415
Needs Improvement
1620
Meets Expectations
Sub-Competency 1: Analyze crime and victimization data
Identify three trends in crime from the past 10 years of UCR and NCVS data.
Response is missing.
Response describes fewer than three trends, or the description of trends contains inaccuracies or is vague.
Response includes a clear explanation of three crime/victimization trends from the past decade identified from the UCR and/or NCVS databases.
Item 2
What are the strengths and weaknesses of each data source (the UCR and NCVS databases)? Consider their accuracy, coverage, applicability, collection methods, and any other characteristic you think is important to consider. Explain at least two strengths and two weaknesses of the databases (2–3 paragraphs).
Your Response
Enter your response here.Rubric
013
Failing
1415
Needs Improvement
1620
Meets Expectations
Sub-Competency 2: Assess strengths and weaknesses of criminological data sources.
Explain two strengths of the UCR and/or NCVS databases.
Response is missing.
Response is vague, lacking detail, or contains inaccuracies.
Response provides an explanation of at least two strengths of the databases. The explanation demonstrates thorough consideration of research design, collection techniques, dissemination strategies, and applicability within the field.
Explain two weaknesses of the UCR and/or NCVS databases.
Response is missing.
Response is vague, lacking detail, or contains inaccuracies.
Response provides an explanation of at least two weaknesses of the databases. The explanation demonstrates thorough consideration of research design, collection techniques, dissemination strategies, and applicability within the field.
Item 3
What criminological explanations for your identified crime trends can be derived from the UCR and/or NCVS databases? Describe at least two. Then provide an argument for other factors and variables (biological, social, structural, economic, etc.) that cause or influence your identified crime trends that are not present in the UCR/NCVS data. Reference theoretical and scholarly resources that support your criminological explanations (3–5 paragraphs).
Your Response
Enter your response here.Rubric
013
Failing
1415
Needs Improvement
1620
Meets Expectations
Sub-Competency 3: Assess correlative and causative relation ...
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一比一原版南昆士兰大学毕业证如何办理
原版一模一样【微信：741003700 】【南昆士兰大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
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二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
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◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理南昆士兰大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理南昆士兰大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理南昆士兰大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理南昆士兰大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版(lbs毕业证书)伦敦商学院毕业证如何办理
原版一模一样【微信：741003700 】【(lbs毕业证书)伦敦商学院毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(lbs毕业证书)伦敦商学院毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(lbs毕业证书)伦敦商学院毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(lbs毕业证书)伦敦商学院毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(lbs毕业证书)伦敦商学院毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版马来西亚博特拉大学毕业证（upm毕业证）如何办理
原版一模一样【微信：741003700 】【马来西亚博特拉大学毕业证（upm毕业证）成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理马来西亚博特拉大学毕业证（upm毕业证）【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理马来西亚博特拉大学毕业证（upm毕业证）【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理马来西亚博特拉大学毕业证（upm毕业证）【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理马来西亚博特拉大学毕业证（upm毕业证）【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
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原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
学校原件一模一样【微信：741003700 】《(unimelb毕业证书)墨尔本大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版加拿大渥太华大学毕业证（uottawa毕业证书）如何办理
原版一模一样【微信：741003700 】【渥太华大学毕业证（uottawa毕业证书）成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理渥太华大学毕业证（uottawa毕业证书）【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理渥太华大学毕业证（uottawa毕业证书）【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理渥太华大学毕业证（uottawa毕业证书）【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理渥太华大学毕业证（uottawa毕业证书）【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版(曼大毕业证书)曼尼托巴大学毕业证如何办理
原版一模一样【微信：741003700 】【(曼大毕业证书)曼尼托巴大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(曼大毕业证书)曼尼托巴大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(曼大毕业证书)曼尼托巴大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(曼大毕业证书)曼尼托巴大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(曼大毕业证书)曼尼托巴大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
Drownings spike from May to August in children
Did you know that drowning is a leading cause of unintentional death among young children? According to recent data, children aged 1-4 years are at the highest risk. Let's raise awareness and take steps to prevent these tragic incidents. Supervision, barriers around pools, and learning CPR can make a difference. Stay safe this summer!
一比一原版多伦多大学毕业证(UofT毕业证书)学历如何办理
办理【微信号:176555708】【办理(UofT毕业证书)】【微信号:176555708】《成绩单、外壳、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号:176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号:176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
原版办【微信号:BYZS866】【英属哥伦比亚大学毕业证(UBC毕业证书)】【微信号:BYZS866】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号BYZS866】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号BYZS866】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
一比一原版莱斯大学毕业证（rice毕业证）如何办理
原版一模一样【微信：741003700 】【莱斯大学毕业证（rice毕业证）成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理莱斯大学毕业证（rice毕业证）【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理莱斯大学毕业证（rice毕业证）【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理莱斯大学毕业证（rice毕业证）【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理莱斯大学毕业证（rice毕业证）【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
[VCOSA] Monthly Report - Cotton & Yarn Statistics May 2024
We are pleased to share with you the latest VCOSA statistical report on the cotton and yarn industry for the month of May 2024.
Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
DSSML24_tspann_CodelessGenerativeAIPipelines
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Build applications with generative AI on Google Cloud
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
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End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
[VCOSA] Monthly Report - Cotton & Yarn Statistics May 2024
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Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
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Build applications with generative AI on Google Cloud
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Dap presentation
- 1. Analyzing crimes in NY city from lodging complaints to incarceration Group Members (Group K): Jayanta Behera (x18188834) Darshana Gowda (x18188842) Samruddhi Kanhere (x18190634) Sarthak Khare (x18180485)
- 2. WHY? Crimes in New York City Visualize and analyze the data and gain meaningful insights Datasets Used: New York City Complaints, Arrests, Court Summons, Prison Admissions WHAT? To gain insights into the trends/patterns of crimes committed in NY City To perform comparative analysis and understand relation between Criminal Complaints, Arrests, Court Summons and Prison Admission data for New York Police Department To investigate crime rates for the 5 boroughs of New York City
- 3. HOW?
- 8. HURDLES Limitations in retrieving data using API Code sharing issues resolved using Data loss issue resolved by imputation Code adaptability for new/updated data
- 9. Thank You!!!
Editor's Notes
- Extracted datasets using APIs Inserted unstructured json data into NoSQL (Mongodb) Analyzed and cleaned the data as part of preprocessing Identified necessary features Inserted selected features into structured database (PostgreSQL) Retrieved data from PostgreSQL and created visualizations using Plotly, Seaborn and Matplotlib