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...

Predictive Analytics World for Business

Wise Practitioner – Predictive Analytics Interview Series: Ken Elliott at Hewlett Packard Enterprise

 In anticipation of his upcoming conference presentation, Operationalizing Analytics: 10 Key Process Areas for Embedding Predictive Analytics into Business Operations, Applications and Machines, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Ken Elliott, Global Director of Analytics at Hewlett Packard Enterprise, a few questions about his work in predictive analytics. Q: In your

Wise Practitioner – Predictive Analytics Interview Series: Lawrence Cowan at Cicero Group

 In anticipation of his upcoming conference presentation, Predicting the Extent and Cost of Online Attacks to Help Sell Security Software, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Lawrence Cowan, Partner at Cicero Group,...

Wise Practitioner – Predictive Analytics Interview Series: Rebecca Pang at CIBC

 In anticipation of her upcoming conference presentation, Driving the Omnichannel Experience with Predictive Analytics at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Rebecca Pang, Senior Director, Channel Strategy & Analytics at CIBC, a few...

Wise Practitioner – Predictive Analytics Interview Series: Mario Vinasco at Facebook

 In anticipation of his upcoming conference presentation, Advanced Experimentation in Social Networks at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Mario Vinasco, Marketing Analytics Data Scientist at Facebook, a few questions about his work...

Wise Practitioner – Predictive Analytics Interview Series: Peter Bull at DrivenData

 In anticipation of his upcoming conference presentation, Predicting Restaurant Violations via Yelp Reviews: Crowdsourcing for Social Good, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Peter Bull, Co-founder at DrivenData, a few questions about...

Wise Practitioner – Predictive Analytics Interview Series: Matt Bentley at CanIRank.com

 In anticipation of his upcoming conference presentation, Predicting Online Marketing Success: Five Lessons Learned at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Matt Bentley, Founder of CanIRank.com, a few questions about his work in...

Wise Practitioner – Predictive Analytics Interview Series: Nate Watson at Contemporary Analysis

 In anticipation of his upcoming conference presentation, Predictive Sales Targeting in the Energy Industry, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Nate Watson, President at Contemporary Analysis, a few questions about his work...

Wise Practitioner – Predictive Analytics Interview Series: Hans Wolters at Microsoft

 In anticipation of his upcoming conference presentation, Predicting User and Device Upgrade Issues Moving to Windows as a Service, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Hans Wolters, Principal Data Scientist, Windows and...

Wise Practitioner – Predictive Analytics Interview Series: Matthew Pietrzykowski at General Electric

 In anticipation of his upcoming conference co- presentation, Advanced Analytics and the Corporate Audit Function at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Matthew Pietrzykowski, Senior Data Scientist at General Electric, a few questions about...

Big Data is Helping Manufacturers Think Bigger

 Everyone is running around talking about big data nowadays – and yes, our databases are immense. A gigabyte used to sound like a lot. Today, we talk about terabytes without blinking. But big data didn’t grow up...

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