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,...

Left-hand

Sports Analytics Making Line Changes in Hockey and Business

 NHL franchises are slowly embracing the ‘Moneyball’ strategy of using analytics to assist in coaching, training and player evaluation but the league has been behind the other sports for two reasons. Hockey has more of a flow aspect to it and to build analytics models around the sport of hockey, you must have a very

The Right Data Can Sweeten Returns on Ad Investments

 All the data in the world won’t increase the return on your advertising expenses by itself, but some clever ideas from a San Francisco analytics conference might. In back-to-back presentations, attendees at Predictive Analytics World heard how...

6 Blackjack Lessons to Improve Your Marketing Analytics

 The game of  blackjack offers six important lessons for managers trying to make sense of marketing data, according to the man who crunches the numbers for Orbitz Worldwide. Sameer Chopra, vice president of advanced analytics for the...

Breakthrough: How to Avert Analytics’ Most Treacherous Pitfall

 This article will make you feel better. And you do need to feel better, if you are one of the many of us who practice analytics—or who must consume and rely on analytics—and find ourselves carrying tension...

HR Should Hire ‘Scary’ Data People

 Too many people confuse reporting with analytics–and underinvest in making sure they are asking the right questions. Standard-issue reports about monthly employee turnover rates and average compensation per employee are important glances in the rearview mirror. But...

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....

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...

Talent Analytics Isn’t Enough

   Was 2013 the Year of Talent Analytics? I think it’s safe to say that “2013 was the year of talent analytics”. Global discussions about talent analytics, as a concept, have certainly been great for our brand,...

“Data Scientist” catches “Statistician”, surpasses “Data Miner”

 The rapidly rising term “Data Scientist” caught up with “Statistician” and surpassed “Data Miner” on Google Trends. However, Statistics remains a lot more popular than “Data Science”, which begs the question: What do Data Scientists do? Clearly,...

Data Science Wars: Python vs. R

 As I frequently travel in data science circles, I’m hearing more and more about a new kind of tech war: Python vs. R. I’ve lived through many tech wars in the past, e.g. Windows vs. Linux, iPhone...

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