Discover population demographics, real estate value, and lifestyle segmentation with Census maps. Get insights into your target market for better decision-making
Crime Analysis based on Historical and Transportation DataValerii Klymchuk
Contains experimental results based on real crime data from an urban city. Our set of statistics reveals seasonality in crime patterns to accompany predictive machine learning models assessing the risks of crime. Moreover, this work provides a discussion on implementation, design for a prototype of cloud based crime analytics dashboard.
In this assignment, you will expound on one of the topics you selected by conducting a literature review. Use the literature you developed for references to prepare an analysis of the topic, and identify required changes, revocation, or additions to the issue, problem, or policy you selected for study. Here, you will provide research analysis to defend your position on the selected topic.
Abstract : Crime prediction is a topic of significant research across the fields of criminology, data mining, city planning, law enforcement, and political science. Crime patterns exist on a spatial level; these patterns can be grouped geographically by physical location, and analyzed contextually based on the region
in which crime occurs. This paper proposes a mechanism to parameterize street-level crime, localize crime hotspots, identify correlations between spatiotemporal crime patterns and social trends, and analyze the resulting data for the purposes of knowledge discovery and anomaly detection. The subject of this study is the county of Merseyside in the United Kingdom, over a span of 21 months beginning in December 2010 (monthly) through August 2012. Several types of crime are analyzed in this dataset, including Burglary and Antisocial Behavior. Through this analysis, several interesting findings are drawn about crime in Merseyside, including: hotspots with steadily increasing crime levels, hotspots with unstable crime levels, synchronous changes in crime trends throughout Merseyside as a whole, individual months in which certain hotspots behaved anomalously, and a strong correlation between crime hotspot locations and borough/postal code locations. We believe that this type of statistical and correlative analysis of crime patterns will help law enforcement agencies predict criminal activity, allocate resources, and promote community awareness to reduce overall crime rates.
For more information, please visit: http://people.cs.vt.edu/parang/ or contact parang at firstname at cs vt edu
Running Head CRIMINOLOGY AND PUBLIC POLICY LITERATURE REVIEW1C.docxsusanschei
Running Head: CRIMINOLOGY AND PUBLIC POLICY LITERATURE REVIEW 1
CRIMINOLOGY AND PUBLIC POLICY LITERATURE REVIEW 6
Criminology and Public Policy Literature Review
Criminal Justice Capstone
Eric Butler
Argosy University
Abstract
The field of criminology in the modern community has become directly linked with public policy. The relationship between criminology and public policy has not fully been realized and this is impacting the different fields of criminology in the community. There have been different readings in the field of social policy and in relation to how policing can be an integral aspect in reduction of crime activities in the community. Although this is the case, governmental organizations have failed in the integration of effective policing to address emerging issues in the criminal community. The research will focus on the literature review of published and secondary data in addressing the importance of public policy participation in the criminology. The secondary data is also an essential affiliation based on the role played by crime related policies in the community. The review of the secondary data and its publications will offer the necessary foundations for accessing and discussing on the importance of public policy participation in criminology. In conclusion, the world of criminology is changing and this is influencing the participation of public policy in criminal justice.
Research problem
The aim of the literature review is to offer an extensive classification on the importance of public policy participation in criminal justice and especially in the field of criminology. In relation to the changing circumstance as exhibited by the drastic policing in the community and its society in areas related with criminal justice. Is the ever changing public policy and its influence in the social sciences in the 21st century a solution in curbing different challenges influencing and affecting criminology strategies in the community? The aim of the public policing is influencing how the community integrates with different aspects such as social issues influencing the community from leadership to peaceful integration with law enforcement.
Justification of the Topic
There is a clear distinction in the field of criminology especially in the reduction of drug related activities in the contemporary community. There are also a number of different criminal based activities which have influenced the criminal and law enforcements to develop strategies to curb the spread of crime. Although this has become an effective methodology in curbing and reducing crime, it has not always offered an ultimate solution. For instance, American community is recognized as the highest nation with a highest mass incarceration in the community. The use of laws has only increased the mass incarceration in population, hence, it has not helped in the reduction of crime. Due to the lack of effective reformation of the public policing, the cri ...
Crime Analysis based on Historical and Transportation DataValerii Klymchuk
Contains experimental results based on real crime data from an urban city. Our set of statistics reveals seasonality in crime patterns to accompany predictive machine learning models assessing the risks of crime. Moreover, this work provides a discussion on implementation, design for a prototype of cloud based crime analytics dashboard.
In this assignment, you will expound on one of the topics you selected by conducting a literature review. Use the literature you developed for references to prepare an analysis of the topic, and identify required changes, revocation, or additions to the issue, problem, or policy you selected for study. Here, you will provide research analysis to defend your position on the selected topic.
Abstract : Crime prediction is a topic of significant research across the fields of criminology, data mining, city planning, law enforcement, and political science. Crime patterns exist on a spatial level; these patterns can be grouped geographically by physical location, and analyzed contextually based on the region
in which crime occurs. This paper proposes a mechanism to parameterize street-level crime, localize crime hotspots, identify correlations between spatiotemporal crime patterns and social trends, and analyze the resulting data for the purposes of knowledge discovery and anomaly detection. The subject of this study is the county of Merseyside in the United Kingdom, over a span of 21 months beginning in December 2010 (monthly) through August 2012. Several types of crime are analyzed in this dataset, including Burglary and Antisocial Behavior. Through this analysis, several interesting findings are drawn about crime in Merseyside, including: hotspots with steadily increasing crime levels, hotspots with unstable crime levels, synchronous changes in crime trends throughout Merseyside as a whole, individual months in which certain hotspots behaved anomalously, and a strong correlation between crime hotspot locations and borough/postal code locations. We believe that this type of statistical and correlative analysis of crime patterns will help law enforcement agencies predict criminal activity, allocate resources, and promote community awareness to reduce overall crime rates.
For more information, please visit: http://people.cs.vt.edu/parang/ or contact parang at firstname at cs vt edu
Running Head CRIMINOLOGY AND PUBLIC POLICY LITERATURE REVIEW1C.docxsusanschei
Running Head: CRIMINOLOGY AND PUBLIC POLICY LITERATURE REVIEW 1
CRIMINOLOGY AND PUBLIC POLICY LITERATURE REVIEW 6
Criminology and Public Policy Literature Review
Criminal Justice Capstone
Eric Butler
Argosy University
Abstract
The field of criminology in the modern community has become directly linked with public policy. The relationship between criminology and public policy has not fully been realized and this is impacting the different fields of criminology in the community. There have been different readings in the field of social policy and in relation to how policing can be an integral aspect in reduction of crime activities in the community. Although this is the case, governmental organizations have failed in the integration of effective policing to address emerging issues in the criminal community. The research will focus on the literature review of published and secondary data in addressing the importance of public policy participation in the criminology. The secondary data is also an essential affiliation based on the role played by crime related policies in the community. The review of the secondary data and its publications will offer the necessary foundations for accessing and discussing on the importance of public policy participation in criminology. In conclusion, the world of criminology is changing and this is influencing the participation of public policy in criminal justice.
Research problem
The aim of the literature review is to offer an extensive classification on the importance of public policy participation in criminal justice and especially in the field of criminology. In relation to the changing circumstance as exhibited by the drastic policing in the community and its society in areas related with criminal justice. Is the ever changing public policy and its influence in the social sciences in the 21st century a solution in curbing different challenges influencing and affecting criminology strategies in the community? The aim of the public policing is influencing how the community integrates with different aspects such as social issues influencing the community from leadership to peaceful integration with law enforcement.
Justification of the Topic
There is a clear distinction in the field of criminology especially in the reduction of drug related activities in the contemporary community. There are also a number of different criminal based activities which have influenced the criminal and law enforcements to develop strategies to curb the spread of crime. Although this has become an effective methodology in curbing and reducing crime, it has not always offered an ultimate solution. For instance, American community is recognized as the highest nation with a highest mass incarceration in the community. The use of laws has only increased the mass incarceration in population, hence, it has not helped in the reduction of crime. Due to the lack of effective reformation of the public policing, the cri ...
GIS is a discipline that heavily relies on data. In this presentation we highlight all the geospatial data sources for crime mapping.
Visit https://expertwritinghelp.com/gis-assignment-help/ for quality gis assignment aid
3Victimization inthe United StatesAn OverviewCHAPTE.docxtamicawaysmith
3
Victimization in
the United States:
An Overview
CHAPTER OUTLINE
Crime in the Streets: The Big Picture
The Use and Abuse of Statistics
Making Sense of Statistics
The Two Official Sources of Victimization Data
A First Glance at the Big Picture: Estimates of the
Number of New Crime Victims per Year
A Second Glance at the Big Picture: Looking at the
FBI’s Crime Clock
Taking Another Glance at the Big Picture: Looking at
Victimization Rates
Focusing on the Federal Bureau of Investigation’s
Uniform Crime Report
Focusing on the Bureau of Justice Statistics’ National
Crime Victimization Survey (NCVS)
Comparing the UCR and the NCVS
Tapping into the UCR and the NCVS to Fill in the
Details of the Big Picture
Searching for Changes in the Big Picture: Detecting
Trends in Interpersonal Violence and Theft
Taking a Global View: Making International Comparisons
Putting Crime into Perspective: The Chances of Dying
Violently—or From Other Causes
Summary
Key Terms Defined in the Glossary
Questions for Discussion and Debate
Critical Thinking Questions
Suggested Research Projects
LEARNING OBJECTIVES
To find out what information about crime victims is
collected routinely by the federal government’s
Department of Justice.
To become familiar with the ways that victimologists
use this data to estimate how many people were
harmed by criminal activities and what injuries and
losses they suffered.
To become aware of the kinds of information about
victims that can be found in the Federal Bureau of
Investigation’s annual Uniform Crime Report.
continued
58
R
O
D
D
Y
,
A
N
T
H
O
N
Y
I
S
A
A
C
3
7
2
7
B
U
CRIME IN THE STREETS: THE BIG
PICTURE
Victimologists gather and interpret data to answer
questions such as: How many people are harmed by
criminals each year? How rapidly are the ranks of
people who have suffered misfortunes growing?
And, a matter of particular concern, which groups
are targeted the most and the least often? Research-
ers want to find out where and when the majority
of crimes occur, whether predators on the prowl
intimidate and subjugate their prey with their bare
hands or use weapons, and if so, what kinds? Victi-
mologists also want to determine whether indivi-
duals are attacked by complete strangers or people
they know, and how these intended targets act
when confronted by assailants. What proportion
try to escape or fight back, how many are injured,
what percentage need to be hospitalized, and how
much money do they typically lose in an incident?
The answers to basic questions like these, when
taken together, constitute what can be termed the
big picture—an overview of what is really happen-
ing across the United States during the twenty-first
century. The big picture serves as an antidote to
impressions based on direct but limited personal
experiences, as well as self-serving reports circulated
by organizations with vested interests, misleading
media images, crude stereotypes, and widely held
myths. But putting toge ...
While research can be interesting in regards to understanding so.docxmansonagnus
While research can be interesting in regards to understanding social phenomena, it is also important that research results be used to positively impact positive outcomes in regards to the individuals involved, the societal problems considered, and the programs and policy related to these issues. This discussion presents a real world application of data and will help you understand the value of data on social policy outcomes.
Please watch
Crime spotting: Joy of Stats (1/6) (Links to an external site.)Links to an external site.
and in your initial post, address the following:
How does the City of San Francisco currently use its crime data?
How could the data be used by citizens to influence policy? Provide at least two community advocacy and societal change ideas. Explain them and how they would help citizens.
How could the data be used by the police service? Provide at least two forms of community outreach, policing policy, or program creation, and explain how they would help the police and the citizenry.
How could the data be used by social researchers? What does the data tell them about crime in San Francisco?
Are there wider applications for the data to support policy makers in San Francisco? Explain how.
How has this example changed your thoughts about the use of research and data to support policy? Can you provide another way research could be used to support policy creation or change?
Your initial post should be at least 250 words in length. Support your claims with examples from the required material(s) and/or other scholarly resources, and properly cite any references.
...
250 words agree or disagreeWhile I have mixed opinions about p.docxvickeryr87
250 words agree or disagree
While I have mixed opinions about predictive policing, I find it to be an incredibly fascinating topic. Personally, I think it can blur the lines of civil liberties protection and proactive policing. However, I think with the proper, no-kidding, honest-to-goodness checks and balances, the technologies available to law enforcement and intelligence agencies can indeed be a force multiplier and allow for effective prevention of criminal acts or terrorism.
The concept of protective policing brings to mind a couple of things. First and foremost, that law enforcement agencies utilize data science to create algorithms that conduct trend analysis and/or heat maps to indicate areas of significant instances of criminal activity. For example, in my town, statistically more crime occurs in low-income areas and housing projects. Our police department uses criminal intelligence analysts to do everything from social media/open-source analysis to trend analysis to perform predictive policing. One benefit of watching social media is that over time, criminal tradecraft can be identified, such as drug deals, communications methods between persons of interest, and neighbors reporting activity (to name a few). Online databases and scripting tools allow data scientists to create algorithms to identify, display, and alert users to endlessly-customizable circumstances. For example, when a known subject (SUBJ) is mentioned or tagged on social media, or when he checks in at a certain location.
Another example is forensic trend analysis. One downside of this approach is that it, by default, requires historic analysis. This, then, requires that before such analysis is performed, it requires the long-term collection of information on activities... which means that efficacy of “preventive” policing evolves from a baseline to more effectiveness over time as more collection and analysis is performed. What concerns me about this, as I touched on before, is the potential for abuse. One “lesson learned” from an overseas tour was that often, people with differences of any sort (whether it be from perceived/actual personal slights, racial differences, tribal conflicts, etc), often report derogatory information about their neighbors for some form of personal gain – satisfaction, monetary compensation, or some other motivation. This, then, results in that neighbor being arrested, interrogated, or detained for long periods of time simply because a neighbor had a proverbial axe to grind. This is an inherent flaw in proposed “red flag laws” which come from a good place of course, but in practice, humans are fallible, and implementing a system where such “poison pen attacks” don’t result in an innocent person’s civil liberties being infringed upon.
Geospatial Predictive Analysis is an interesting new trend that I can get behind. There aren’t any civil liberties to be concerned about or trampled on, and can all be done remotely, albeit after-the-fact o.
The Value of Research in Social PolicyWhile research can be intere.docxKomlin1
The Value of Research in Social Policy
While research can be interesting in regards to understanding social phenomena, it is also important that research results be used to positively impact positive outcomes in regards to the individuals involved, the societal problems considered, and the programs and policy related to these issues. This discussion presents a real world application of data and will help you understand the value of data on social policy outcomes.
Please watch
Crime spotting: Joy of Stats (1/6)
(Links to an external site.)
Links to an external site.
and in your initial post, address the following:
How does the City of San Francisco currently use its crime data?
How could the data be used by citizens to influence policy? Provide at least two community advocacy and societal change ideas. Explain them and how they would help citizens.
How could the data be used by the police service? Provide at least two forms of community outreach, policing policy, or program creation, and explain how they would help the police and the citizenry.
How could the data be used by social researchers? What does the data tell them about crime in San Francisco?
Are there wider applications for the data to support policy makers in San Francisco? Explain how.
How has this example changed your thoughts about the use of research and data to support policy? Can you provide another way research could be used to support policy creation or change?
Your initial post should be at least 250 words in length. Support your claims with examples from the required material(s) and/or other scholarly resources, and properly cite any references. Respond to at least two of your classmates’ posts by Day 7.
.
What is the impact of organised crime on the allocation of public resources and on tax collection? This paper studies the consequences of collusion between members of criminal organisations and politicians in Italian local governments. In order to capture the presence of organised crime, we exploit the staggered enforcement of a national law allowing the dissolution of a municipal government upon evidence of collusion between elected officials and the mafia. We measure the consequences of this collusion by using newly collected data on public spending, local taxes and elected politicians at the local level. Difference-in-differences estimates reveal that infiltrated local governments spend more on average for construction and waste management, less for public transport and lighting, less for municipal police, and collect fewer taxes for waste and garbage. In addition, we uncover key elements of local elections associated with mafia-government collusion. In particular, Regression Discontinuity estimates show that infiltration is more likely to occur when right-wing parties win local elections.
Read more: https://www.hhs.se/site
GIS is a discipline that heavily relies on data. In this presentation we highlight all the geospatial data sources for crime mapping.
Visit https://expertwritinghelp.com/gis-assignment-help/ for quality gis assignment aid
3Victimization inthe United StatesAn OverviewCHAPTE.docxtamicawaysmith
3
Victimization in
the United States:
An Overview
CHAPTER OUTLINE
Crime in the Streets: The Big Picture
The Use and Abuse of Statistics
Making Sense of Statistics
The Two Official Sources of Victimization Data
A First Glance at the Big Picture: Estimates of the
Number of New Crime Victims per Year
A Second Glance at the Big Picture: Looking at the
FBI’s Crime Clock
Taking Another Glance at the Big Picture: Looking at
Victimization Rates
Focusing on the Federal Bureau of Investigation’s
Uniform Crime Report
Focusing on the Bureau of Justice Statistics’ National
Crime Victimization Survey (NCVS)
Comparing the UCR and the NCVS
Tapping into the UCR and the NCVS to Fill in the
Details of the Big Picture
Searching for Changes in the Big Picture: Detecting
Trends in Interpersonal Violence and Theft
Taking a Global View: Making International Comparisons
Putting Crime into Perspective: The Chances of Dying
Violently—or From Other Causes
Summary
Key Terms Defined in the Glossary
Questions for Discussion and Debate
Critical Thinking Questions
Suggested Research Projects
LEARNING OBJECTIVES
To find out what information about crime victims is
collected routinely by the federal government’s
Department of Justice.
To become familiar with the ways that victimologists
use this data to estimate how many people were
harmed by criminal activities and what injuries and
losses they suffered.
To become aware of the kinds of information about
victims that can be found in the Federal Bureau of
Investigation’s annual Uniform Crime Report.
continued
58
R
O
D
D
Y
,
A
N
T
H
O
N
Y
I
S
A
A
C
3
7
2
7
B
U
CRIME IN THE STREETS: THE BIG
PICTURE
Victimologists gather and interpret data to answer
questions such as: How many people are harmed by
criminals each year? How rapidly are the ranks of
people who have suffered misfortunes growing?
And, a matter of particular concern, which groups
are targeted the most and the least often? Research-
ers want to find out where and when the majority
of crimes occur, whether predators on the prowl
intimidate and subjugate their prey with their bare
hands or use weapons, and if so, what kinds? Victi-
mologists also want to determine whether indivi-
duals are attacked by complete strangers or people
they know, and how these intended targets act
when confronted by assailants. What proportion
try to escape or fight back, how many are injured,
what percentage need to be hospitalized, and how
much money do they typically lose in an incident?
The answers to basic questions like these, when
taken together, constitute what can be termed the
big picture—an overview of what is really happen-
ing across the United States during the twenty-first
century. The big picture serves as an antidote to
impressions based on direct but limited personal
experiences, as well as self-serving reports circulated
by organizations with vested interests, misleading
media images, crude stereotypes, and widely held
myths. But putting toge ...
While research can be interesting in regards to understanding so.docxmansonagnus
While research can be interesting in regards to understanding social phenomena, it is also important that research results be used to positively impact positive outcomes in regards to the individuals involved, the societal problems considered, and the programs and policy related to these issues. This discussion presents a real world application of data and will help you understand the value of data on social policy outcomes.
Please watch
Crime spotting: Joy of Stats (1/6) (Links to an external site.)Links to an external site.
and in your initial post, address the following:
How does the City of San Francisco currently use its crime data?
How could the data be used by citizens to influence policy? Provide at least two community advocacy and societal change ideas. Explain them and how they would help citizens.
How could the data be used by the police service? Provide at least two forms of community outreach, policing policy, or program creation, and explain how they would help the police and the citizenry.
How could the data be used by social researchers? What does the data tell them about crime in San Francisco?
Are there wider applications for the data to support policy makers in San Francisco? Explain how.
How has this example changed your thoughts about the use of research and data to support policy? Can you provide another way research could be used to support policy creation or change?
Your initial post should be at least 250 words in length. Support your claims with examples from the required material(s) and/or other scholarly resources, and properly cite any references.
...
250 words agree or disagreeWhile I have mixed opinions about p.docxvickeryr87
250 words agree or disagree
While I have mixed opinions about predictive policing, I find it to be an incredibly fascinating topic. Personally, I think it can blur the lines of civil liberties protection and proactive policing. However, I think with the proper, no-kidding, honest-to-goodness checks and balances, the technologies available to law enforcement and intelligence agencies can indeed be a force multiplier and allow for effective prevention of criminal acts or terrorism.
The concept of protective policing brings to mind a couple of things. First and foremost, that law enforcement agencies utilize data science to create algorithms that conduct trend analysis and/or heat maps to indicate areas of significant instances of criminal activity. For example, in my town, statistically more crime occurs in low-income areas and housing projects. Our police department uses criminal intelligence analysts to do everything from social media/open-source analysis to trend analysis to perform predictive policing. One benefit of watching social media is that over time, criminal tradecraft can be identified, such as drug deals, communications methods between persons of interest, and neighbors reporting activity (to name a few). Online databases and scripting tools allow data scientists to create algorithms to identify, display, and alert users to endlessly-customizable circumstances. For example, when a known subject (SUBJ) is mentioned or tagged on social media, or when he checks in at a certain location.
Another example is forensic trend analysis. One downside of this approach is that it, by default, requires historic analysis. This, then, requires that before such analysis is performed, it requires the long-term collection of information on activities... which means that efficacy of “preventive” policing evolves from a baseline to more effectiveness over time as more collection and analysis is performed. What concerns me about this, as I touched on before, is the potential for abuse. One “lesson learned” from an overseas tour was that often, people with differences of any sort (whether it be from perceived/actual personal slights, racial differences, tribal conflicts, etc), often report derogatory information about their neighbors for some form of personal gain – satisfaction, monetary compensation, or some other motivation. This, then, results in that neighbor being arrested, interrogated, or detained for long periods of time simply because a neighbor had a proverbial axe to grind. This is an inherent flaw in proposed “red flag laws” which come from a good place of course, but in practice, humans are fallible, and implementing a system where such “poison pen attacks” don’t result in an innocent person’s civil liberties being infringed upon.
Geospatial Predictive Analysis is an interesting new trend that I can get behind. There aren’t any civil liberties to be concerned about or trampled on, and can all be done remotely, albeit after-the-fact o.
The Value of Research in Social PolicyWhile research can be intere.docxKomlin1
The Value of Research in Social Policy
While research can be interesting in regards to understanding social phenomena, it is also important that research results be used to positively impact positive outcomes in regards to the individuals involved, the societal problems considered, and the programs and policy related to these issues. This discussion presents a real world application of data and will help you understand the value of data on social policy outcomes.
Please watch
Crime spotting: Joy of Stats (1/6)
(Links to an external site.)
Links to an external site.
and in your initial post, address the following:
How does the City of San Francisco currently use its crime data?
How could the data be used by citizens to influence policy? Provide at least two community advocacy and societal change ideas. Explain them and how they would help citizens.
How could the data be used by the police service? Provide at least two forms of community outreach, policing policy, or program creation, and explain how they would help the police and the citizenry.
How could the data be used by social researchers? What does the data tell them about crime in San Francisco?
Are there wider applications for the data to support policy makers in San Francisco? Explain how.
How has this example changed your thoughts about the use of research and data to support policy? Can you provide another way research could be used to support policy creation or change?
Your initial post should be at least 250 words in length. Support your claims with examples from the required material(s) and/or other scholarly resources, and properly cite any references. Respond to at least two of your classmates’ posts by Day 7.
.
What is the impact of organised crime on the allocation of public resources and on tax collection? This paper studies the consequences of collusion between members of criminal organisations and politicians in Italian local governments. In order to capture the presence of organised crime, we exploit the staggered enforcement of a national law allowing the dissolution of a municipal government upon evidence of collusion between elected officials and the mafia. We measure the consequences of this collusion by using newly collected data on public spending, local taxes and elected politicians at the local level. Difference-in-differences estimates reveal that infiltrated local governments spend more on average for construction and waste management, less for public transport and lighting, less for municipal police, and collect fewer taxes for waste and garbage. In addition, we uncover key elements of local elections associated with mafia-government collusion. In particular, Regression Discontinuity estimates show that infiltration is more likely to occur when right-wing parties win local elections.
Read more: https://www.hhs.se/site
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
1. Analyzing Crime Patterns: Reports by
Address and Demographic Maps
One of the main benefits of crime reports by address and demographic maps is that
they can provide a more comprehensive understanding of crime patterns than
traditional crime statistics. While crime statistics typically provide aggregate data for
an entire city or region, crime maps allow individuals to see exactly where crimes are
occurring within a specific area. This can help law enforcement and policymakers
identify crime “hot spots” and develop targeted interventions to address them.
For example, a crime map of a particular neighborhood might reveal that most
burglaries occur on one particular street. Law enforcement could then increase patrols
in that area or launch a community awareness campaign to encourage residents to
secure their homes. Similarly, a map might show that a certain demographic group is
disproportionately affected by a particular type of crime, such as young people being
more likely to be victims of gun violence. This information could be used to develop
2. targeted prevention programs aimed at reducing this type of crime among this
demographic group.
Another benefit of crime reports by address and demographic maps is that they can
help increase transparency and accountability in law enforcement. By making crime
data publicly available, individuals can hold law enforcement agencies accountable
for their response to crime in their communities. For example, if a crime map shows
that a particular area is experiencing a high rate of violent crime but law enforcement
is not taking action to address it, community members can use this information to
demand that action be taken.
However, it is important to note that crime reports by address and demographic maps
can also have some limitations. For example, they may not always provide a complete
picture of crime in a particular area. Crime data is often reported to law enforcement
by victims, and not all victims report crimes. This means that some crimes may not be
included in the data used to create crime maps. Additionally, crime data can be subject
to bias and manipulation. For example, law enforcement agencies may choose to
under-report certain types of crimes to create the appearance of a safer community.
Another limitation of crime reports by address and demographic maps is that they can
potentially perpetuate harmful stereotypes and biases. For example, if a crime map
shows that a particular demographic group is disproportionately affected by a
particular type of crime, this information could reinforce negative stereotypes about
that group. Additionally, some individuals may use crime maps to avoid certain areas
or neighborhoods, which could lead to further segregation and inequity.
To address these limitations, it is important to use crime reports by address and
demographic maps in conjunction with other forms of data and analysis. For example,
law enforcement agencies could use crime maps as one tool among many for
identifying crime “hot spots” and developing targeted interventions, but they should
also collect data on unreported crimes and conduct community surveys to ensure that
their interventions are effective and equitable.
In conclusion, crime reports by address and demographic maps can be a powerful
tool for increasing transparency, accountability, and targeted interventions in law
enforcement. However, they must be used with caution and in conjunction with other
forms of data and analysis to ensure that they do not perpetuate harmful stereotypes
and biases or create further inequity. With proper use, crime maps can help create
safer, more equitable communities for all.