Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Visualizing Decision Trees with Pybaobabdt
 Originally published in Towards Data Science, Dec 14, 2021....
Correspondence Analysis: From Raw Data to Visualizing Relationships
 Isn’t it satisfying to find a tool that makes...
Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
    Welcome to the next episode of The Machine...
A Refresher on Continuous Versus Discrete Input Variables
 How many times have I heard that the most...

Original Content

Wise Practitioner – Predictive Analytics Interview Series: James Duarte at IMAGILYTICS

 In anticipation of his upcoming presentation at Predictive Analytics World for Industry 4.0, Las Vegas, June 19-24, 2022, we asked James Duarte, Principle, IMAGILYTICS and Academician at IMAGILYTICS, a few questions about their deployment of predictive analytics. Catch a glimpse of his presentation, Machine Learning and Data Science Value Chain, and see what’s in store at

AI Hype: the Good, the Bad, and the Ugly

 The Good: American economist Robert Shiller wrote of economic bubbles in his best-selling book, Irrational Exuberance. Shiller illuminates “why it is so difficult for smart money to profit by betting against bubbles.” He writes that “psychological contagion promotes a...

Models Are Rarely Deployed – an Industrywide Failure in ML Leadership (Poll Results)

  Originally published in KDnuggets. The latest KDnuggets poll reconfirms today’s dire industry buzz: Very few machine learning models actually get deployed. In this article, I’ll summarize the poll results and argue that this pervasive failure of...

Book Review: AI Can’t Come “First”

  A note from Executive Editor Eric Siegel: In this book review, Rich Heimann concludes that the concept of “AI First” only perpetuates the fallacy of AI as a single solution, not to mention continuing the hype...

Video – Career Paths in Analytics and Data Science and Analytics Team Building

 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...

What Percentage of Your Machine Learning Models Have Been Deployed?

  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...

Video – Credit Models, Microfinance, and Improving the Lives of Families in the Developing World

 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...

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 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...

Video – How to Use AI Ethically from Natalia Modjeska of Omdia

 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...

Video – Alexa On The Edge – A Case Study in Customer-Obsessed Research from Susanj of Amazon

 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...

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