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...

Original Content

Why AI Isn’t Going to Replace Data Scientists Any Time Soon

 Should data scientists consider AI a threat to their short- or even long-term job security? In this article, I present a philosophical argument that adamantly argues, “No.” For the work of data scientists, and human endeavors in general, machines are nowhere near human intellectual capabilities. There has been much discussion, almost euphoric in some instances,

“Doing AI” Is a Mistake that Detracts from Real Problem-Solving

  A note from Executive Editor Eric Siegel: Richard Heimann’s forthcoming book, Doing AI, takes on the problems with “AI” as a brand with a style so crisp, clear, and unique, it just pops off the page....

Getting the Green Light for a Machine Learning Project

  This article is based on the transcript of one of 142 videos in Eric Siegel’s online course, Machine Learning Leadership and Practice – End-to-End Mastery. Originally published by SAS Blogs How do you internally sell a...

Real-Time Machine Learning: Why It’s Vital and How to Do It

Organizations often miss the greatest opportunities that machine learning has to offer because tapping them requires real-time predictive scoring.

Liftoff: The Basics of Predictive Model Deployment

  This article is based on the transcript of one of 142 videos in Eric Siegel’s online course, Machine Learning Leadership and Practice – End-to-End Mastery. Developing a good predictive model with machine learning isn’t the end...

Wise Practitioner – Predictive Analytics Interview Series: Markus Larsson at Palo Alto Research Center (PARC)

  (more…)

Wise Practitioner – Predictive Analytics Interview Series: Alexander Wu at Nauto

  (more…)

Wise Practitioner – Predictive Analytics Interview Series: Daniel Rohr at Tracks GmbH

  (more…)

Wise Practitioner – Predictive Analytics Interview Series: Gopal Erinjippurath at Sust Global

  (more…)

Wise Practitioner – Predictive Analytics Interview Series: Edo van Uitert at ABN Amro

  (more…)

Page 8 of 69 1 3 4 5 6 7 8 9 10 11 12 13 69