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Kurt A Cagle's blog post was featured

Data Science Central Weekly Digest, 18 Jan 2021

Data Science Central Weekly Digest, 18 Jan 2021Welcome to the DSC Weekly Digest, a production of Data Science Central. Every week, we pick out the newest and brightest articles on the topic of data ... and how it informs our lives, powers our applications, and provides insights into our world.From…See More
4 hours ago
Kurt A Cagle posted a blog post

Data Science Central Weekly Digest, 18 Jan 2021

Data Science Central Weekly Digest, 18 Jan 2021Welcome to the DSC Weekly Digest, a production of Data Science Central. Every week, we pick out the newest and brightest articles on the topic of data ... and how it informs our lives, powers our applications, and provides insights into our world.From…See More
4 hours ago
Kurt A Cagle's blog post was featured

Can Gerrymandering Be Ended via Machine Learning?

Gerrymandering has long been a problem in the process of choosing elected officials globally, but it is especially a problem in the United States, where political redistricting occurs every two years in response to changes in population distribution and density. The term itself arose in 1820 in Massachusetts as the Democratic-Republican…See More
Sunday
Kurt A Cagle posted a blog post

Can Gerrymandering Be Ended via Machine Learning?

Gerrymandering has long been a problem in the process of choosing elected officials globally, but it is especially a problem in the United States, where political redistricting occurs every two years in response to changes in population distribution and density. The term itself arose in 1820 in Massachusetts as the Democratic-Republican…See More
Sunday
Kurt A Cagle's blog post was featured

Data Science Central Weekly Digest, 11 Jan 2021

Data Science Central Weekly Digest, 11 Jan 2021What is the future of work?Data analysts often find, when faced with unquantifiable variables, that one can use quantifiable variables as proxies. Given this question, perhaps the most closely related proxy is: How much of your "job" involves interacting through a screen? It's likely that, for many jobs, this has changed…See More
Jan 11
Kurt A Cagle posted a blog post

Data Science Central Weekly Digest, 11 Jan 2021

Data Science Central Weekly Digest, 11 Jan 2021What is the future of work?Data analysts often find, when faced with unquantifiable variables, that one can use quantifiable variables as proxies. Given this question, perhaps the most closely related proxy is: How much of your "job" involves interacting through a screen? It's likely that, for many jobs, this has changed…See More
Jan 11
Kurt A Cagle updated their profile
Jan 10
Kurt A Cagle's 2 blog posts were featured
Jan 4
Kurt A Cagle posted blog posts
Jan 4
Kurt A Cagle's blog post was featured

Data Science Central Weekly Digest, 21 Dec 2020

Data Science Central Weekly Digest, 28 Dec 2020Welcome to the DSC Weekly Digest, a production of Data Science Central. Every week, we pick out the newest and brightest articles on the topic of data ... and how it informs our lives, powers our applications, and provides insights into our world.From the Editor's DeskT'is the Season!  Christmas,…See More
Dec 21, 2020
Kurt A Cagle posted a blog post

Data Science Central Weekly Digest, 21 Dec 2020

Data Science Central Weekly Digest, 28 Dec 2020Welcome to the DSC Weekly Digest, a production of Data Science Central. Every week, we pick out the newest and brightest articles on the topic of data ... and how it informs our lives, powers our applications, and provides insights into our world.From the Editor's DeskT'is the Season!  Christmas,…See More
Dec 21, 2020
Kurt A Cagle's blog post was featured

Data Science Central Weekly Digest, 14 Dec 2020

Data Science Central Weekly Digest, 14 Dec 2020Welcome to the DSC Weekly Digest, a production of Data Science Central. Every week, we pick out the newest and brightest articles on the topic of data ... and how it informs our lives, powers our applications, and provides insights into our world.From the Editor's DeskThis…See More
Dec 20, 2020
Kurt A Cagle posted a blog post

Data Science Central Weekly Digest, 14 Dec 2020

Data Science Central Weekly Digest, 14 Dec 2020Welcome to the DSC Weekly Digest, a production of Data Science Central. Every week, we pick out the newest and brightest articles on the topic of data ... and how it informs our lives, powers our applications, and provides insights into our world.From the Editor's DeskThis…See More
Dec 15, 2020
Kurt A Cagle's 2 blog posts were featured
Dec 7, 2020
Kurt A Cagle posted blog posts
Dec 7, 2020
Vincent Granville liked Kurt A Cagle's blog post Network Graph Visualizations with DOT
Nov 30, 2020

Profile Information

Company:
Data Science Central
Job Title:
Community Editor
Seniority:
Analyst
Job Function:
Business Analyst
Country
United States
Number of employees:
500 to 999
Industry:
Publishing/Broadcast/Media
Short Bio:
Community Editor for Data Science Central. Author of more than twenty books on data modeling and transformations.
LinkedIn Profile:
http:///www.linkedin.com/in/kurtcagle
Interests:
Networking, Finding a new position, New venture, Other
Topics of Interest
Data Science, Machine Learning, Deep Learning, Data Visualization, Data Storytelling, Enterprise Data Modeling, Graph Technology, Fintech, Distributed Ledgers, Smart Contracts, Knowledge Graphs, Databases, Digital Workplace, Internet of Things (IoT), Autonomous Vehicles and Drones, Bioanalytics, Scientific Research, Programming, Business Analytics, Space Technology, Materials Engineering, Genetics, Digital Publishing, Data Strategy, Digital Governance, Digital Government, Data Journalism, Artificial General Intelligence, Neural Networks, Mathematics, Networks, Other

Kurt A Cagle's Blog

Data Science Central Weekly Digest, 18 Jan 2021

Posted on January 19, 2021 at 6:51pm 0 Comments

Data Science Central Weekly Digest, 18 Jan 2021…
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Can Gerrymandering Be Ended via Machine Learning?

Posted on January 17, 2021 at 12:00pm 0 Comments

Gerrymandering has long been a problem in the process of choosing elected officials globally, but it is especially a problem in the United States, where political redistricting occurs every two years in response to changes in population distribution and density. The term itself arose in 1820 in Massachusetts as the…

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