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

Spark Or Hadoop — Which Is The Best Big Data Framework?

 One question I get asked a lot by my clients is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are not directly comparable products, they both have many of the same uses. To shed some light

The IoT and Big Data Are Teaming Up to Push Healthcare Further Than Ever

 In the move to take healthcare to the next level, no conversation would be complete without a discussion on the impact of big data. With so many hospitals and health institutions using electronic medical records now, the...

Become Better at Talent Analytics

 Senior executives are increasingly demanding that the talent development function provide actionable insights for driving better business results through targeted improvements in the management and development of people. Talent analytics is increasingly expected go far beyond traditional...

Debunked! 9 Myths about Big Data and Hadoop

 These unfounded beliefs about budget skills, technology, and technology fit can lead you astray. Big data analytics is one of the major trends every company is told it must jump on for competitive advantage, even survival. As...

Intro to Machine Learning Algorithms for IT Professionals

 Machine learning — supervised and unsupervised — tracks data patterns that help businesses build improved predictive models and make smarter IT decisions. Our data center machines, due to all the information we feed them, are getting smarter....

Plotting your Data Science Strategy

 It’s the disrupter behind the disruptors and the decade’s ‘sexiest’ industry. But data science is more than a buzzword. From stock trading to facial recognition, data science is behind the wheel of countless solutions once driven by...

How UPS Augments Its Drivers’ Intuition with Predictive Analytics

 Imagine someone who has five errands to run on a nice little Saturday. Five tasks means there are 120 different ways to sequence and complete those tasks, once you factor out the numbers. Now think of a...

Sameer Chopra’s Analytics Lessons from the Blackjack Table

 Hit on 16 and stay on 17—that’s the extent of blackjack strategy for many players. But even basic strategies of the game say there are times when hitting on 18 is the smartest play—such as when the...

Marketers are Betting Big on Predictive Analytics

 Give a marketer a sale, and you’ll keep his company afloat for a day; teach him to predict future sales, and you may just ensure his longevity. That, in essence, is the premise behind predictive marketing, a...

Top 5 Data Science Masters Programs

 Which top Masters Courses should you consider for a great career in data-science? A frequently cited study by McKinsey predicts that by 2018, the United States could face a shortage of 140,000 to 190,000 “people with deep...

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