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...

Industry News

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 people would likely be swayed to vote for him after receiving a flyer, phone call or home visit,

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...

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,...

Audio: Barry List interviews Eric Siegel on the privacy concerns related to predictive analytics

 Listen to the Podcast Here HR departments routinely collect information about their employees. But what happens when they use predictive analytics to predict if someone might leave the company – and that someone is you? Eric Siegel,...

Data Science – Found Your Unicorn Yet?

 You’ll find much banter in the data science ecosystem these days about all the skill-sets required to effectively function as a data scientist. Some have gone so far as to label the perfect melange of experience and...

Personalization Is Back: How to Drive Influence by Crunching Numbers

 Standard predictive analytics does not directly address what is the greatest challenge faced by marketing and healthcare: Across large numbers of individuals, deciding who to treat in a certain way. Yes, you heard me correctly. Predictive analytics...

Predictive Analytics Market to Reach USD 6,546.4 Million by 2019, Globally: Transparency Market Research

 According to a new market report “Predictive Analytics Market (Customer intelligence, Decision support systems, Data mining and management, Performance management, Fraud and security intelligence, Risk management, Financial intelligence, Operations and Campaign management) – Global Industry Analysis, Size,...

Data Scientist: Evolution of the Business Analyst

 The business/data analyst role is evolving into a new role due in part to the new technology of big data. The data scientist role has emerged because of the increase in breadth and depth of data being...

“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,...

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