Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Why You Must Twist Your Data Scientist’s Arm To Estimate AI’s Value
 Originally published in Forbes, June 11, 2024. If you’ve...
3 Ways Predictive AI Delivers More Value Than Generative AI
 Originally published in Forbes, March 4, 2024. Which kind...
AI Success Depends On How You Choose This One Number
 Originally published in Forbes, March 25, 2024. To do...
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...

Original Content

Wise Practitioner – Predictive Analytics Interview Series: Alice Chung at Genentech

 In anticipation of her upcoming conference co-presentation, Utilizing Advanced Analytics to Generate Insights at Predictive Analytics World Chicago, June 20-23, 2016, we asked Alice Chung, Senior Manager at Genentech, a few questions about her work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: We are trying

Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Carlos Cunha at Robert Bosch, LLC

 In anticipation of his upcoming Predictive Analytics World for Manufacturing conference presentation, Manufacturing Analytics at Scale:  Data Mining and Machine Learning inside Bosch, we interviewed Carlos Cunha, Senior Data Scientist at Robert Bosch, LLC. View the Q-and-A below to see...

5 Common Mistakes Multi-Channel Retailers Make, and How to Avoid Them

  Multi-channel retailers are often finding themselves stuck in a vicious cycle of failed promotions, inventory distortion, and endless markdowns which result in decreasing gross margins, and lost sales. Yet all these challenges have only a handful...

Three Critical Definitions You Need Before Building Your First Predictive Model

 Portions excerpted from Chapter 2 of his book Applied Predictive Analytics (Wiley 2014, http://amzn.com/1118727967) Successful predictive modeling is more than identifying the right algorithms. And, even though 60-90% of our time is spend on data preparation before...

Measurement and Validation: An Often Underrated Aspect within the Predictive Analytics Discipline

 In our Big Data world, software applications and programming tools continue to expand the data scientist’s toolkit in facilitating the process of building predictive analytics solutions. Open-source tools have become much more prevalent in the last few...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Haig Nalbantian at Mercer

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Too Late? Too Soon? Using Predictive Modeling to Gauge the Timing and Consequence of Retirement Choice, we interviewed Haig Nalbantian, Senior Partner, Well-Known Authority on Human Capital Measurement...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Pasha Roberts at Talent Analytics, Corp.

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Predictive Job Maps – Modeling an Entire Workforce with a Tree of Models, we interviewed Pasha Roberts, Co-Founder and Chief Scientist at Talent Analytics, Corp. View the Q-and-A...

Improving Word Clouds as Tool for Text Analytics Data Visualization

 Rich Lanza will present Using Letter Analytic Techniques to Pinpoint Textual Deviations at the Text Analytics World Conference, taking place June 21-22 in Chicago. For more information about the event and to register, click here. Use code...

Dr. Data’s Music Video: The Predictive Analytics Rap

 With today’s release of “Predict This!” – the rap video by yours truly (a former university professor trying to be a pop star) – I took the opportunity to ask a few questions of the music video’s...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Geetanjali Gamel from MasterCard

 In anticipation of her upcoming Predictive Analytics World for Workforce conference presentation, Employee Attrition in the Knowledge Economy – The Value lies in the Details, we interviewed Geetanjali Gamel, Predictive Analytics Leader, Global HR at MasterCard. View the Q-and-A below to...

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