Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Video – Career Paths in Analytics and Data Science and Analytics Team Building
 Event: Machine Learning Week 2021 Keynote: Career Paths in Analytics and...
What Percentage of Your Machine Learning Models Have Been Deployed?
  Do your models usually get deployed? Or are...
Video – Credit Models, Microfinance, and Improving the Lives of Families in the Developing World
 Event: Machine Learning Week 2021 Keynote: Credit Models, Microfinance, and...
Video – Identifying Program Effectiveness for Survivors of Human Trafficking from Muneeb Alam of QuantumBlack
 Event: Machine Learning Week 2021 Keynote: Identifying Program Effectiveness for Survivors...

Welcome to The Machine Learning Times (previously Predictive Analytics Times)

Welcome to the machine learning professionals’ premier resource, delivering timely, relevant industry-leading content: articles, videos, events, white papers, and community. The only full-scale content portal devoted exclusively to machine learning and its commercial deployment, The Machine Learning Times has become a standard must-read.

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 Originally published in Wired, Dec 2, 2021. A New York City law requires algorithms...

 Originally published in GameRant, June 27, 2021. Video game voice actors express concern about...

 Originally published in Meta AI, Nov 9, 2021. Addressing content that violates our Community...

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     Event: Machine Learning Week 2021 Keynote: Career Paths in Analytics and Data Science and Analytics Team Building Speaker: Meghan Anzelc, Head of Data & Analytics, Spencer Stuart Bio:  Meghan Anzelc Head of Data & Analytics Meghan joined Spencer Stuart in July 2018 leading data and analytics for the firm. She is responsible for creating and implementing a strategy […]

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      Do your models usually get deployed? Or are many of even your best models never actually launched into production? We want to know: What Percentage of Your Machine Learning Models Have Been Deployed? Industry buzz indicates that a high number of machine learning projects fail to reach deployment. That is, many models, including those […]

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     Event: Machine Learning Week 2021 Keynote: Credit Models, Microfinance, and Improving the Lives of Families in the Developing World Speaker:  Aric LaBarr, Associate Professor of Analytics, Institute for Advanced Analytics at NC State University Bio:  A Teaching Associate Professor in the Institute for Advanced Analytics, Dr. Aric LaBarr is passionate about helping people solve challenges using their data. There he […]

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     Event: Machine Learning Week 2021 Keynote: Identifying Program Effectiveness for Survivors of Human Trafficking and Slavery Speaker: Muneeb Alam, Specialist, Data Science, QuantumBlack, a McKinsey company Bio:  Muneeb Alam is a data science specialist at QuantumBlack, a McKinsey Company. He has experience in the public and social sector, healthcare, energy and basic materials.  He holds a B.A. in astrophysics […]

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     Event: Machine Learning Week 2021 Keynote: How to Use AI Ethically Speaker: Natalia Modjeska, Research Director at Omdia (part of Informa Tech) Bio:  Natalia Modjeska is a Research Director at Omdia (part of Informa Tech) where she leads the team of analysts covering Artificial Intelligence and Intelligent Automation from processors and software to enterprise deployments. Natalia’s journey into […]

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     Event: Machine Learning Week 2021 Keynote: Alexa On The Edge – A Case Study in Customer-Obsessed Research Speaker: Nathan Susanj, Applied Science Manager at Amazon Bio: Previously Nathan was a data scientist on the Wells Fargo Enterprise Analytics and Data Science team where he led a small team as head of Natural Language Processing (NLP) and Speech […]

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     Should data scientists consider AI a threat to their short- or even long-term job security? In this article, I present a philosophical argument that adamantly argues, “No.” For the work of data scientists, and human endeavors in general, machines are nowhere near human intellectual capabilities. There has been much discussion, almost euphoric in some instances, […]

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