Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects
  Originally published in Forbes When Henry Castellanos first presented...
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...
Hybrid AI: Industry Event Signals Emerging Hot Trend
 Originally published in Forbes After decades chairing and keynoting myriad...
Predictive AI Thrives, Despite GenAI Stealing The Spotlight
 Originally published in Forbes Generative AI and predictive AI ought...

Industry News

Overspecialization throws data science dream teams off-balance

  Building a data science team is difficult enough, but growing one without losing the team’s effectiveness is a major challenge. Here’s why overspecialization is the wrong approach to growth. You’ve built a great data science team, and everything’s going fine until you realize you need more team members. It’s a scary endeavor to mess

3 Ways to Test the Accuracy of Your Predictive Models

 Editor’s note: This article compares measures for model performance. Note that “accuracy” is a specific such measure, but that this article uses the word “accuracy” to generically refer to measures in general. In data mining, data scientists...

Unlocking The Power of Data Science In Healthcare

 Vinod Khosla, Founder of Sun Microsystems and Khosla Ventures, recently stated that “in the next 10 years, data science and software will do more for medicine than all of the biological sciences together.” The rise of population health and...

Socializing Predictive Analytics within Your Organization

 With  the field of predictive analytics becoming a more mainstream business discipline, the end objective for many organizations is to operationalize this discipline in order to truly leverage the   full business impact. The notion of “operationalizing”  this...

Why Soft Skills Matter in Data Science

 I’d like to offer up some thoughts about what it means to practice data science in the real world, because merely knowing the math isn’t enough. Anyone who knows me well knows that I’m not the sharpest...

Predictive Analytics World Launches Full Set of Conference Videos

 Predictive Analytics Times Subscribers Now Have Online Access to Boston 2013 Conference Keynotes and Sessions Boston, MA (PRWEB) January 30, 2014 The Predictive Analytics Times has launched a suite of hosted videos from Predictive Analytics World Boston...

Amazon Knows What You Want Before You Buy It

 Anticipatory shipping may be closest that retail can come to a crystal ball. Amazon, which now has a patent for the algorithm-based system, could conceivably use the system to ship products before you even place an order....

Thriving in a Big Data World

 Three recent books offer managers expert perspectives on the increasing power and importance of analytics. U.S. President Barack Obama’s 2012 campaign owed much of its success to quantitative analysis, with staffers able to identify, for example, which...

5 steps in mastering big data, predictive analytics this year

 In the past, big data discussions centered mostly on storage and organization followed by debates on the best way to do analysis in real-time or otherwise. This year the buzz centers on predictive analytics. Of, course we’ve...

Big predictions for Big Data for community banks

 Department store conglomerate Target Brands Inc. knows when its female customers are pregnant long before they start buying cribs. Google Inc. was able to track the H1N1 flu in real-time using Internet search queries when the government...

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