Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
    Welcome to the next episode of The Machine...
A Refresher on Continuous Versus Discrete Input Variables
 How many times have I heard that the most...
Podcast: Why Deep Learning Could Expedite the Next AI Winter
  Welcome to the next episode of The Machine Learning...
PAW Preview Video: Evan Wimpey, Director of Strategic Analytics at Elder Research
 In anticipation of his upcoming presentation at Deep Learning...

Data scientist

What Does A Data Scientist Really Do?

 The world of big data and data science can often seem complex or even arcane from the outside looking in. In business, a lot of people by now probably understand the basics of what Big Data analysis involves – collecting the ever growing amount of data we are generating, and using it to come up with meaningful

The “Predictive Analytics” FAQ — What’s New in the Updated Edition and Who’s The Book for?

 This is the preface to Eric Siegel’s newly-released Revised and Updated edition of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die—available in paperback, e-book, and audiobook. This preface is also available as a...

The Data Scientist’s Dilemma: Does Skipping Breakfast Kill You?

 Would skipping breakfast kill you? Not necessarily—but confusing correlation and causation might. Find out why in this article, originally published in Quartz and adapted from Eric Siegel’s recently-released Revised and Updated, edition of Predictive Analytics: The Power to Predict Who...

Customer Experience Predictions for 2016

 As we look ahead and see 2016 unfurling in front of us, the team at Beyond the Arc wanted to play the role of #stylespotter. What’s the “new black” for companies focused on improving customer experience? We’re...

4 Things to Know Before Building Data Science Into Your Organization

 “Data scientist” is a popular role these days. Everyone seems to have one — or claims to be one. But how do executives know whether they have the “real thing” and how that value is best employed?...

Netflix, Dark Knowledge, and Why Simpler Can Be Better

 Weary from an all-night coding effort, and rushed by the looming 6:42PM deadline, Lester Mackey searched franticly for the proper prediction file to submit. Lester was a member of “The Ensemble”—a large coalition of data scientists who...

Advanced Analytics Predictions for 2016

 More organizations than ever before are putting the right data on the right platform for the right reason. This new level of data efficiency greatly reduces – and, in the long run, may ultimately eliminate – the...

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 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...

The Best Data Scientists Know How to Tell Stories

 When hiring data scientists, people tend to focus primarily on technical qualifications. It’s hard to find candidates who have the right mix of computational and statistical skills. But what’s even harder is finding people who have those...

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