Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...

Original Content

5 Things I Learned at Predictive Analytics World for Workforce

 As a trained researcher, I’ve always been fascinated with using quantitative methods to predict human behavior in a number of settings. Although different business functions such as finance, logistics, and marketing are more mature in their use of predictive analytics to guide their business decisions, it is fairly new to HR. However, predictive workforce analytics

Predictive Analytics as a Strategic HR Solution

 This interview is the second in a series on workforce predictive analytics. APQC interviewed John Callery, Director of People Analytics at AOL. In this role, he focuses on building a predictive analytics team to ensure talent-related decisions...

Visualizations Get Some Snap from R Shiny

 “Numbers have an important story to tell. They rely on you to give them a clear and convincing voice.” –Stephen Few Every data scientist bears the burden of clearly and convincingly communicating results to a client or...

What Programming do Predictive Modelers Need to Know?

 In most lists of the most popular software for doing data analysis, statistics, and predictive modeling, the top software tools are Python and R—command line languages rather than GUI-based modeling packages. There are several reasons for this,...

Wise Practitioner – Workforce Predictive Analytics Interview Series: John Callery at AOL

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, How AOL is Using Predictive Analytics as a Strategic HR Solution, we interviewed John Callery, Director of People Analytics at AOL, Inc. View the Q-and-A below to see how...

Recognizing Traffic Lights With Deep Learning

 I recently won first place in the Nexar Traffic Light Recognition Challenge, computer vision competition organized by a company that’s building an AI dash cam app. In this post, I’ll describe the solution I used. I’ll also...

Analytic Professionals — Share your views: Participate in the Rexer Analytics 2015 Data Miner Survey

 Data Analysts, Predictive Modelers, Data Scientists, Data Miners, and all other types of analytic professionals, students, and academics:  Please participate in the Rexer Analytics 2015 Data Miner Survey. Survey Link:  www.rexeranalytics.com/Data-Miner-Survey-2015-Intro.html Access Code:  PAW8R24 Survey results will...

Charlie Batch and the Cost of Obfuscation

 The hot Florida sun shone down on fans, coaches, and players alike as Charlie Batch took the snap and kneeled down to seal a commanding 38-13 win for the Pittsburg Steelers. He may not know it, but...

Predictive Analytics for Insurance Risk: A New Level of Data Scrutiny-Part 2-Development and Implementation

 For more on the application of predictive analytics and Insurance, attend PAW Business in San Francisco March 31-April 2, 2015, where there is a sequence of insurance-focused presentations. In my last article, I discussed how attention to...

Is Big Data Better?

 Big data is usually defined as lots of records and fields with large variety, volume, and velocity. But big data by itself is of no value; it’s the information in the big data that determines its value....

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