Data science
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Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.
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Simplify your analytics strategy
The document discusses simplifying an analytics strategy. It recommends accelerating data through a hybrid technology environment to enable faster insight and decision making. A bank adopted this approach to more efficiently manage increasing data volumes for customer analytics. It also discusses delegating work to technologies like business intelligence, data discovery, analytics applications, and machine learning to analyze data and produce predictions. A company's existing culture and technologies impact its analytics journey.
In Hong Kong, visual analytics inspires better solutions to public complaints
of public services, the Hong Kong
Efficiency Unit created its 1832 Call
Center to hear citizen complaints. With
300,000 complaints coming in each
year, the Call Center stays busy routing
public feedback to the right department
for follow-up action. By the time the Call
Center had collected a million complaints,
the Efficiency Unit knew it
needed a more efficient way to handle
big data.
So the Efficiency Unit turned to SAS®
Visual Analytics for a high-performance,
in-memory solution for exploring all that
data quickly to spot patterns, identify
opportunities for further analysis and to
convey visual results via Web reports,
iPad® or Android tablet.
“We aim to serve citizens more efficiently
and timely,” says W.F. Yuk, Assistant
Director at the Efficiency Unit. “The less
time we spend analyzing data, the more
time we can spend better understanding
things.”
Simplify Your Analytics Strategy
This presentation is based on the article Simplify Your Analytics Strategy by Narendra Mulani.I have made this presentation
as a part of my data internship course
The commons credit model pilot
This document proposes a new model for biomedical computing called the NIH Commons that aims to improve data sharing, reduce costs, and increase access to computational resources. It would provide investigators with credits that can be used at multiple cloud computing providers. This 3-year pilot program seeks to test if this approach can enhance data sharing and lower costs compared to current practices. Key aspects that will need to be defined include the requirements for cloud providers to participate, criteria for approving credit requests, and metrics to evaluate the model's effectiveness. Feedback will be sought from experts to help design and implement this new biomedical computing framework.
Excellencein visualization
This document discusses data visualization in the context of big data. It notes that data visualization is important for making sense of large datasets and gaining insights. However, visualizing big data presents challenges related to scalability, heterogeneity, and speed. Effective visualization of big data requires tools that can handle its scale and complexity through techniques like cloud computing and advanced user interfaces. The document also provides examples of different visualization techniques like word clouds and line charts that can be used to display different data types.
reinvening healthcare services
This document discusses the evolution of healthcare services from traditional models to more digital approaches. It argues that early digital health focused on efficiency through digitization but did not fully leverage data, while modern e-health aims to create new health-related solutions by unlocking more value from data. However, the market remains fragmented. The document proposes that combining user-generated data from different life domains could enable more personalized and meaningful feedback and recommendations through a product-service system approach. This may help revitalize traditional services and create new service models.
Simplify your analytics strategy
Companies should pursue business intelligence to turn their data into a valuable asset. This involves having the right data available to decision-makers in a visual format suited to each person's needs. Data discovery techniques allow companies to test their data and uncover patterns not readily evident to find new opportunities. Applications can simplify advanced analytics by putting powerful tools in the hands of business users, while machine learning removes human elements to predict customer behavior and performance. A company's culture and existing analytics capabilities also impact its analytics journey.
The Beauty Of Data visualisation
Data visualization is the graphical presentation of data that enables decision makers to easily understand complex concepts and identify patterns. It is an effective way to convey large amounts of information because the human brain processes visual representations better than text. Data is like soil that can bloom into flowers - meaning interesting patterns and insights are revealed when data is explored and visualized creatively. For businesses, data visualization can help uncover emerging trends to gain a competitive advantage and spot issues to address before they become problems. It is also an important tool for communicating insights to others in an engaging way. In conclusion, data visualization is a wise investment for making sense of big data.
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Simplify your analytics strategy
The document discusses simplifying an analytics strategy. It recommends accelerating data through a hybrid technology environment to enable faster insight and decision making. A bank adopted this approach to more efficiently manage increasing data volumes for customer analytics. It also discusses delegating work to technologies like business intelligence, data discovery, analytics applications, and machine learning to analyze data and produce predictions. A company's existing culture and technologies impact its analytics journey.
In Hong Kong, visual analytics inspires better solutions to public complaints
of public services, the Hong Kong
Efficiency Unit created its 1832 Call
Center to hear citizen complaints. With
300,000 complaints coming in each
year, the Call Center stays busy routing
public feedback to the right department
for follow-up action. By the time the Call
Center had collected a million complaints,
the Efficiency Unit knew it
needed a more efficient way to handle
big data.
So the Efficiency Unit turned to SAS®
Visual Analytics for a high-performance,
in-memory solution for exploring all that
data quickly to spot patterns, identify
opportunities for further analysis and to
convey visual results via Web reports,
iPad® or Android tablet.
“We aim to serve citizens more efficiently
and timely,” says W.F. Yuk, Assistant
Director at the Efficiency Unit. “The less
time we spend analyzing data, the more
time we can spend better understanding
things.”
Simplify Your Analytics Strategy
This presentation is based on the article Simplify Your Analytics Strategy by Narendra Mulani.I have made this presentation
as a part of my data internship course
The commons credit model pilot
This document proposes a new model for biomedical computing called the NIH Commons that aims to improve data sharing, reduce costs, and increase access to computational resources. It would provide investigators with credits that can be used at multiple cloud computing providers. This 3-year pilot program seeks to test if this approach can enhance data sharing and lower costs compared to current practices. Key aspects that will need to be defined include the requirements for cloud providers to participate, criteria for approving credit requests, and metrics to evaluate the model's effectiveness. Feedback will be sought from experts to help design and implement this new biomedical computing framework.
Excellencein visualization
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reinvening healthcare services
This document discusses the evolution of healthcare services from traditional models to more digital approaches. It argues that early digital health focused on efficiency through digitization but did not fully leverage data, while modern e-health aims to create new health-related solutions by unlocking more value from data. However, the market remains fragmented. The document proposes that combining user-generated data from different life domains could enable more personalized and meaningful feedback and recommendations through a product-service system approach. This may help revitalize traditional services and create new service models.
Simplify your analytics strategy
Companies should pursue business intelligence to turn their data into a valuable asset. This involves having the right data available to decision-makers in a visual format suited to each person's needs. Data discovery techniques allow companies to test their data and uncover patterns not readily evident to find new opportunities. Applications can simplify advanced analytics by putting powerful tools in the hands of business users, while machine learning removes human elements to predict customer behavior and performance. A company's culture and existing analytics capabilities also impact its analytics journey.
The Beauty Of Data visualisation
Data visualization is the graphical presentation of data that enables decision makers to easily understand complex concepts and identify patterns. It is an effective way to convey large amounts of information because the human brain processes visual representations better than text. Data is like soil that can bloom into flowers - meaning interesting patterns and insights are revealed when data is explored and visualized creatively. For businesses, data visualization can help uncover emerging trends to gain a competitive advantage and spot issues to address before they become problems. It is also an important tool for communicating insights to others in an engaging way. In conclusion, data visualization is a wise investment for making sense of big data.
Big data hype (and reality)
Big Data has received significant attention in articles and conferences but applying it effectively to gain advantages is challenging. While data mining has improved predictive analysis, breakthroughs are difficult due to inconsistent and dynamic human behavior. Netflix improved its movie recommendation algorithm after 3 years of work by data scientists, but ratings only increased by 0.1 stars. Big data can marginally improve predictions but its most important application is in artificial intelligence and personalized healthcare. It also has potential to transform location-based services.
Data driven in social meet up 20 minutes
1) The document discusses trends in big data and data-driven decision making. It notes that by 2017, 30% of enterprise access to big data will be through data broker services and by 2018 there will be a 35% shortfall of data-savvy workers. Using big data fully could increase retailer operating margins by 60%.
2) Common challenges for companies include integrating data from different sources, performing advanced analytics beyond basic reporting, and democratizing data access across all employee levels.
3) The document promotes a company called Keboola that helps connect different data sources to break down data silos and reduce the cost of infrastructure, while also providing ready-to-use advanced analytics applications.
Simplify Your Analytics Strategy by Narendra Mulani
Week 4 day 5 of my Data Analytics internship at IIM Lucknow under the supervision of pof sameer mathur
Simplify your analytics strategy
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Data visualization is a technique for representing data in a graphical format to help people understand the significance of the data. It enables decision makers to see analytics visually and identify patterns. Data visualization is important as it can identify areas needing improvement, clarify factors influencing customer behavior, and help predict sales. It provides advantages like enhanced business insights, trend identification, and predictive analysis. Choosing the right visual is key to effective data visualization.
Program evaluation instead of assessment AABIG
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Fairbanks is a global leader in providing wetstock monitoring and management services to petrol retailers. They partnered with Edge Hill University on a project to improve how Fairbanks analyzes and visualizes large datasets to guide analysts. The project developed new user interfaces and data models to more efficiently handle Fairbanks' growing data and streamline workflows. This allowed Fairbanks to reallocate analysts to new customers while maintaining service levels. Both Fairbanks and the university benefited from increased efficiencies and new research opportunities.
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This document discusses simplifying analytics strategies for organizations. It recommends accelerating data through a hybrid environment to provide fast insights and outcomes. Next-gen business intelligence and data visualization tools can delegate analytics work, bringing data to life to improve decision-making and performance. Having the right data at the right time allows companies to easily achieve desired results through interactive analytics and flexible applications tailored for individual users. To overcome issues, companies should pursue a simpler path to insights through discovery that uncovers opportunities and drives business value.
Simplify your analytics strategy
Most companies get stuck analyzing large amounts of data. To overcome this, companies should pursue a simpler path to insights by accelerating data delivery in real-time, and delegating analytic work to technologies like business intelligence, data discovery, analytics applications, and machine learning. This allows the right data to reach decision-makers in a visual format tailored for each user, enabling data-driven decisions across departments to efficiently achieve organizational goals.
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Simplify Your Analytics Strategy
This document discusses how companies can simplify their analytics strategies. It recommends that companies accelerate data access to gain insights more quickly, delegate analytics work to technologies, and use next-gen business intelligence and data visualization to present data insights visually. The document also suggests using applications, machine learning, and data discovery techniques to simplify advanced analytics and uncover new opportunities from data. The overall message is that companies can gain data-driven insights more easily by focusing on outcomes, leveraging technologies, and having an adaptive analytics approach.
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3) Social media, mobile technologies, analytics, and cloud computing each provide new ways for businesses to engage customers and access technology and data to quickly adapt to changing markets.
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Simply your analytics strategy
The document outlines 5 steps to simplify an analytics strategy: 1) Accelerate data delivery through a hybrid data platform; 2) Use next-gen business intelligence and data visualization; 3) Perform data discovery to uncover patterns; 4) Deploy industry-specific analytics applications; 5) Incorporate machine learning and cognitive computing. Taking these steps can generate insights that lead to improved decision-making and organizational performance. A manager must understand that analytics strategies require adapting to changing business needs, technologies, and data sources.
Simplify Your Analytics Strategy
An analysis on HBR article "Simplify Your Analytics Strategy by Narendra Mulani" under the guidance of Prof.Sameer Mathur
Simplify your analytics strategy
Fast data enables fast insights and fast outcomes. To accelerate data, companies need to liberate and accelerate it by creating a data supply chain built on a hybrid environment of a data service platform and emerging big data technologies. This allows business intelligence to bring data and analytics to life to help companies improve decision-making and performance. Additionally, data discovery can occur alongside specific projects, allowing companies to discover new patterns in their data through testing and exploration to further optimize outcomes.
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Companies should pursue a simpler path to uncover insights from their data by creating a data supply chain using a hybrid of technologies. They should focus on next-gen business intelligence and data visualization to improve decision making, as well as data discovery techniques to uncover patterns. Machine learning can also be used to produce predictions and remove human elements from modeling. A company's analytics journey also depends on its culture.
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This document discusses big data and how it can be interpreted in different ways. It notes that data can be both stubborn and stupid depending on how it is interpreted and used, and that data analysis can have both positive and negative outcomes. The document recommends that managers take informed decisions by aligning business goals, choosing alternative actions based on data analysis, and considering different problem solving perspectives to make the most of big data insights.
Business intelligence
Big data analytics is used to extract meaningful insights from data through identifying hidden patterns, correlations, trends, and customer preferences. It provides advantages like better decision making and preventing fraud. Business intelligence refers to technologies, applications, and practices used to collect, integrate, analyze and present business information and is data-driven to support decision making. Business intelligence tools allow users to identify actionable information from raw data to facilitate data-driven decision making.
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Big data analytics is used to extract meaningful insights from data through identifying hidden patterns, correlations, trends, and customer preferences. It provides advantages like better decision making and preventing fraud. Business intelligence encompasses technologies, applications, and practices for collecting, integrating, analyzing, and presenting business information and is data-driven to support decision making. Business intelligence tools allow users to identify actionable information from raw data to facilitate data-driven decision making.
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Big Data has received significant attention in articles and conferences but applying it effectively to gain advantages is challenging. While data mining has improved predictive analysis, breakthroughs are difficult due to inconsistent and dynamic human behavior. Netflix improved its movie recommendation algorithm after 3 years of work by data scientists, but ratings only increased by 0.1 stars. Big data can marginally improve predictions but its most important application is in artificial intelligence and personalized healthcare. It also has potential to transform location-based services.
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1) The document discusses trends in big data and data-driven decision making. It notes that by 2017, 30% of enterprise access to big data will be through data broker services and by 2018 there will be a 35% shortfall of data-savvy workers. Using big data fully could increase retailer operating margins by 60%.
2) Common challenges for companies include integrating data from different sources, performing advanced analytics beyond basic reporting, and democratizing data access across all employee levels.
3) The document promotes a company called Keboola that helps connect different data sources to break down data silos and reduce the cost of infrastructure, while also providing ready-to-use advanced analytics applications.
Simplify Your Analytics Strategy by Narendra Mulani
Week 4 day 5 of my Data Analytics internship at IIM Lucknow under the supervision of pof sameer mathur
Simplify your analytics strategy
This is a qualitative analysis of an article titled "Simplify Your Analytics Strategy" by Narendra Mulani
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Data visualization is a technique for representing data in a graphical format to help people understand the significance of the data. It enables decision makers to see analytics visually and identify patterns. Data visualization is important as it can identify areas needing improvement, clarify factors influencing customer behavior, and help predict sales. It provides advantages like enhanced business insights, trend identification, and predictive analysis. Choosing the right visual is key to effective data visualization.
Program evaluation instead of assessment AABIG
A conference presentation on Program Evaluation as a proxy for assessment in instructional initiatives.
Fairbanks
Fairbanks is a global leader in providing wetstock monitoring and management services to petrol retailers. They partnered with Edge Hill University on a project to improve how Fairbanks analyzes and visualizes large datasets to guide analysts. The project developed new user interfaces and data models to more efficiently handle Fairbanks' growing data and streamline workflows. This allowed Fairbanks to reallocate analysts to new customers while maintaining service levels. Both Fairbanks and the university benefited from increased efficiencies and new research opportunities.
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This document discusses simplifying analytics strategies for organizations. It recommends accelerating data through a hybrid environment to provide fast insights and outcomes. Next-gen business intelligence and data visualization tools can delegate analytics work, bringing data to life to improve decision-making and performance. Having the right data at the right time allows companies to easily achieve desired results through interactive analytics and flexible applications tailored for individual users. To overcome issues, companies should pursue a simpler path to insights through discovery that uncovers opportunities and drives business value.
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Most companies get stuck analyzing large amounts of data. To overcome this, companies should pursue a simpler path to insights by accelerating data delivery in real-time, and delegating analytic work to technologies like business intelligence, data discovery, analytics applications, and machine learning. This allows the right data to reach decision-makers in a visual format tailored for each user, enabling data-driven decisions across departments to efficiently achieve organizational goals.
What is data science artical
Data science is an integrative field that uses scientific methods, processes, algorithms, and systems to extract, knowledge and awareness from data in various forms
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1) SMAC (social media, mobility, analytics, and cloud computing) allows businesses to improve operations and customer interactions with minimal resources and maximum reach.
2) Experts predict SMAC will be a major business technology driver in the next decade by making organizations more connected, collaborative, real-time, and productive.
3) Social media, mobile technologies, analytics, and cloud computing each provide new ways for businesses to engage customers and access technology and data to quickly adapt to changing markets.
Simplify Your Analytics Strategy" by Narendra Mulani
This document discusses simplifying analytics strategies. It recommends that companies focus on important analytics that benefit customers, stakeholders, and employees rather than trying to analyze all possible data. It suggests accelerating data by creating a hybrid data environment for faster movement and consumption of increasing data. Analytical technologies like next-gen business intelligence, data discovery, machine learning, and analytics applications can help delegate work and simplify advanced analytics for business users. Companies can take known problem/known solution or known problem/unknown solution approaches depending on the business problem.
Simply your analytics strategy
The document outlines 5 steps to simplify an analytics strategy: 1) Accelerate data delivery through a hybrid data platform; 2) Use next-gen business intelligence and data visualization; 3) Perform data discovery to uncover patterns; 4) Deploy industry-specific analytics applications; 5) Incorporate machine learning and cognitive computing. Taking these steps can generate insights that lead to improved decision-making and organizational performance. A manager must understand that analytics strategies require adapting to changing business needs, technologies, and data sources.
Simplify Your Analytics Strategy
An analysis on HBR article "Simplify Your Analytics Strategy by Narendra Mulani" under the guidance of Prof.Sameer Mathur
Simplify your analytics strategy
Fast data enables fast insights and fast outcomes. To accelerate data, companies need to liberate and accelerate it by creating a data supply chain built on a hybrid environment of a data service platform and emerging big data technologies. This allows business intelligence to bring data and analytics to life to help companies improve decision-making and performance. Additionally, data discovery can occur alongside specific projects, allowing companies to discover new patterns in their data through testing and exploration to further optimize outcomes.
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Infotools transforms your consumer research data into a marketing knowledge bank so you can investigate, visualize and tell stories from your data. We work hard to give you space to think.
Simplify your analytics strategy
Companies should pursue a simpler path to uncover insights from their data by creating a data supply chain using a hybrid of technologies. They should focus on next-gen business intelligence and data visualization to improve decision making, as well as data discovery techniques to uncover patterns. Machine learning can also be used to produce predictions and remove human elements from modeling. A company's analytics journey also depends on its culture.
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What do we do with data
This document discusses big data and how it can be interpreted in different ways. It notes that data can be both stubborn and stupid depending on how it is interpreted and used, and that data analysis can have both positive and negative outcomes. The document recommends that managers take informed decisions by aligning business goals, choosing alternative actions based on data analysis, and considering different problem solving perspectives to make the most of big data insights.
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This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
Get more insightful updates from TIA by subscribing techin.asia/updateselalu
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Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
University of New South Wales degree offer diploma Transcript
澳洲UNSW毕业证书制作新南威尔士大学假文凭定制Q微168899991做UNSW留信网教留服认证海牙认证改UNSW成绩单GPA做UNSW假学位证假文凭高仿毕业证申请新南威尔士大学University of New South Wales degree offer diploma Transcript
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
一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
Learn SQL from basic queries to Advance queries
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
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（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！
Experts live - Improving user adoption with AI
Bekijk de slides van onze sessie Enhancing Modern Workplace Efficiency op Experts Live 2024.
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
毕业原版【微信:176555708】【(UMN毕业证书)明尼苏达大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（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！
State of Artificial intelligence Report 2023
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
毕业原版【微信:41543339】【(Chester毕业证书)切斯特大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（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41543339】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41543339】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(Harvard毕业证书)哈佛大学毕业证如何办理
毕业原版【微信:41543339】【(Harvard毕业证书)哈佛大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（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41543339】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41543339】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/
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
学校原件一模一样【微信：741003700 】《(英国UCA毕业证书)创意艺术大学毕业证》【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
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Data science
- 2. Data Science is the science which uses computer science, statistics and machine learning, visualization and human-computer interactions to collect, clean, integrate, analyze, visualize, interact with data to create data products. Goal of Data Science: Turn data into data products. What is Data Science?
- 3. Data Science – A Visual Definition
- 4. What complements data science? Performance Management Define, visualize, often using dashboards, and manage to KPIs Meet goals and KPI targets SF Scorecard, PublicWorks Stat & Stat starter kit Process Outcome Examples Approach Evaluation Assess a project, program or policy design or results Better investment of resources; Better policy decisions Evaluation of transitional- kindergarten in SF Policy Analysis Define and assess alternatives using a broad range of tools Report or memo with policy or program recommendations Shape Up SF Policy Analysis Open Data Publish civic data for use by the City and the public Easier data sharing and reporting, new tools or services built on data SFPUC Adopt a Drain DataScience SF Identify insights using advanced statistics tied to a service change Smarter work “on the ground” in real time See rest of deck!
- 5. User Experience Research Tools Statistical Methods 01 02 METHODS IN DATA SCIENCE 03
- 6. Statistical Methods Survival analysis Forecasting Pattern recognition Propensity score matching Data mining Sentiment analysis
- 7. Tools Languages Python R SQL Javascript NodeJS Libraries SciPy Pandas Scikit-learn GPText OpenNLP Mahout +many others Data Engineering Profiling ETL Job notices APIs Optimized data pipelines Optimized data storage/access Visualization D3.js Gephi R Leaflet PowerBI ggplot2 shiny
- 8. User Experience Research Iterative Prototyping Journey mapping Ethnographic field research and user observation Ride-alongs Photo journaling and documenting Usability testing Process mapping Service blueprinting
- 9. PROCESS IN DATA SCIENCE: What to target? Data Science Target categories Target individuals Target areas Service Change
- 10. PROCESS Find the target Apply the model Visualize the data Choose the machine learning model STEP 01 STEP 02 STEP 03 STEP 04
- 11. EXAMPLE Find the male, female are working as software engineer in an area. 01
- 12. ANALYSIS OUTREACH TOP RATED VALUES MALE FEMALE MALE FEMALE 80% 50%
- 14. ADVANTAGES MONEY PEOPLE EASY ANALYSIS TIME TAKES MINIMUM TIME COST EFFICENT ONE PEOPLE WITH SKILL CAN DO IT ANALYSIS
- 15. THANK YOU