Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...
The AI Playbook: Providing Important Reminders to Data Professionals
 Originally published in DATAVERSITY. This article reviews the new...
Decode the Algorithm: Navigate the World of Machine Learning in Business with ‘The AI ​​Playbook’
  This article reviews the new book, The AI Playbook, by...
To Deploy Machine Learning, You Must Manage Operational Change—Here Is How UPS Got It Right
 Originally published in Harvard Data Science Review. For more...

Industry News

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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 streams into effective predictive modeling can be a challenge. Increasing profitability in this complex industry requires significant legwork

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...

IBM’s Jeff Jonas on Baking Data Privacy into Predictive Analytics

 Privacy by Design, an outlook toward software development developed in the 1990s, urges companies to bake privacy protection features into its analytic systems and processes from their conception. While many executives have supported the notion of anonymizing...

How Talent Benchmarking Slashed Call Center Attrition

 Pasha Roberts will present at PAW San Francisco on this case study. A call center for a global financial firm had a problem – attrition. In order for a new employee to even be permitted to speak...

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