Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Visualizing Decision Trees with Pybaobabdt
 Originally published in Towards Data Science, Dec 14, 2021....
Correspondence Analysis: From Raw Data to Visualizing Relationships
 Isn’t it satisfying to find a tool that makes...
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...

Industry News

Using Big Data to Prevent Fraud

 The financial services industry will begin making significant strides in 2014 toward using data analytics to fight fraud, experts predict. The value of using big data to help prevent or detect fraud is becoming clearer, helping institutions make a business case for data analytics. But right now, only a handful of banking institutions throughout the

Using Analytics to Crack Down on Electricity Theft

 Electricity theft is estimated to cost the energy industry approximately $6 billion each year. Analytics can help them recoup a significant portion of those losses. People go to all kinds of lengths to steal electricity. Some simply...

3 Ways That Predictive Analytics Help Travel Companies Improve Planning

 While heaps of big data exist in the travel sector – from how seasonality affects bookings to the types of travel packages that receive the highest conversion rates among consumers – leveraging some of the more unstructured...

Predictive Analytics World founder explains how uplift modeling works

 Watch the interview with the PAW Founder, Eric Siegel. In the opening keynote session at the 2013 Predictive Analytics World conference in Boston, only two attendees raised their hands when speaker Eric Siegel asked how many people...

How to win your marketing team over to the data side

 We ask five industry experts including heads of marketing and big data analytics to share their tips on how to get your team and organisation behind data analytics For the few stragglers who haven’t managed to be...

Data Privacy: A Key Link in Analytics ROI

 The analytics market has expanded. Where there was once only reactive analysis, prescriptive options have arrived, which are able to identify midsize issues and suggest timely correction. Predictive analytics has seen an upswing in adoption thanks to...

Data Repurposing: The Underpinning of Predictive Analytics?

 C-suite executives are at once enamored and afraid of big data. The notion of information created moment-to-moment and with every action of a company hints at massive analytics opportunity, but it can seem simultaneously overwhelming. Increasingly, IT...

The Privacy Pickle: Hewlett-Packard’s Prediction of Employee Behavior

 Hewlett-Packard (HP) knows there are two sides to every coin. The company has achieved new power by predicting employee behavior, a profitable practice that may raise eyebrows among some of its staff. HP tags its more than...

The Care and Feeding of Data Scientists

 CIOs must encourage data scientists to solve real business problems, not just play with data. As more organizations hire data scientists–especially for predictive analytics projects–IT leaders are discovering that managing people who can turn data into ideas...

Selecting Mathematical Models With Greatest Predictive Power: Finding Occam’s Razor in an Era of Information Overload

 How can the actions and reactions of proteins so small or stars so distant they are invisible to the human eye be accurately predicted? How can blurry images be brought into focus and reconstructed? A new study...

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