Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Wise Practitioner – Predictive Analytics Interview Series: Jaya Mathew at Microsoft
 By: Steven Ramirez, Conference Chair, Predictive Analytics World for...
How to Pick a Winning March Madness Bracket
  Introduction In 2019, over 40 million Americans wagered...
Wise Practitioner – Predictive Analytics Interview Series: Anthony Alford at Genesys
 By: Luba Gloukhova, Founding Chair, Deep Learning World In...
Wise Practitioner – Predictive Analytics Interview Series: Vishal Hawa at The Vanguard Group
 By: Luba Gloukhova, Founding Chair, Deep Learning World In...

Original Content

Oracle’s Ten Enterprise Big Data Predictions for 2016

 Companies big and small are finding new ways to capture and use more data. The push to make big data more mainstream will get stronger in 2016. Here are Oracle’s top 10 predictions: 1. Data civilians operate more and more like data scientists. While complex statistics may still be limited to data scientists, data-driven decision-making shouldn’t

Personalities That Are Barriers to Model Deployment (And How to Partner With Them) Part III: The Expert

 So you have gathered your data and completed your exploration and cleansing. You labored countless hours transforming the data and created a strong model that can revolutionize the way your company sees its clients, makes decisions and...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Kathy Doan at Wells Fargo Bank

 In anticipation of her upcoming Predictive Analytics World for Workforce conference presentation, Beyond Traditional Turnover Creating Value by Quantifying the Impact of Attrition, we interviewed Kathy Doan, Vice President, Community Banking HR Insights & Analysis Group at Wells Fargo Bank. View the...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Jonathon Frampton at Baylor Scott & White Health

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Visualizing Organizational Movement for Opportunity Identification, we interviewed Jonathon Frampton, Director, People Analytics & Reporting at Baylor Scott & White Health. View the Q-and-A below to see how...

Mobile Analytics-Mining the Visit Experience of the Customer

 Mobile technology as part of the Big Data discussion is enabling data miners/data scientists to conduct analytics on information on the customer’s experience within a given location which otherwise was unavailable up until a few years ago....

The Devil’s Data Dictionary – Making Fun of Big Data

 Buy it on Amazon When Stéphane Hamel coined the description of Big Data as ‘That which doesn’t fit in an Excel spreadsheet’, I realized it was well past time for the datarati to have some fun poked...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Ben Waber of Humanyze

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Using Wearables and Big Data to Reinvent Management, we interviewed Ben Waber, CEO at Humanyze.  View the Q-and-A below to see how Ben has incorporated predictive analytics into...

The Quest for Unicorns

 Will there be enough data scientists in the future? The question sounds like a subplot for a science fiction film, but it has received much attention over the past few years due to the forecast of a...

Most Swans are White: Living in a Predictive Society

 In anticipation of the forthcoming Revised and Updated, paperback edition of Eric Siegel’s Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (coming January 6, 2016—preorder today), read here its Foreword by Thomas...

Hiring? Approving Mortgages? It’s the Same Thing

 Imagine that Chris wants to buy a house and needs a mortgage. He applies online and is sent an email by an intern asking to schedule time to discuss his interest. The intern conducts the initial screening...

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