Machine Learning Times
Machine Learning Times
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Predictive Analytics

Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Gary Neights at Elemica

 In anticipation of his upcoming Predictive Analytics World for Manufacturing conference presentation, Analytics in Manufacturing Supply Chains – Predicting Behavior In Chemical Industry Supply Chains, we interviewed Gary Neights, Senior Director at Elemica. View the Q-and-A below for a glimpse of what’s in store at the PAW Manufacturing conference. Q: What are the challenges in translating the lessons of

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...

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...

Democratizing Predictive Analytics For Citizen Data Scientists

 In its most recent hype cycle for emerging technologies, Gartner IT +0.31% introduced “citizen data science” and “advanced analytics with self-service delivery.” Both technologies were predicted to reach the “plateau of productivity” in 2 to 5 years...

How Stubby Datasets Can Lead to Predictive Analytics Snafus

 Here’s a question for PATIMES members interested in Big Data and predictive analytics to ponder: “When is bigger data more hazardous?” And, here’s an answer to puzzle over: “When it is wider.” Eric Siegel, executive editor of...

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...

Model Your Workforce with Predictive Job Maps

 Over the course of their careers, many employees develop skills and new interests, and move between roles in their organizations. Over time, their movements build pathways between job roles, creating a “map” of what kinds of people...

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