07:37
Forbes Article: Metaβs New GenAI Is Theatrical. Hereβs How To Make It Valuable
09:25
Forbes Article: Artificial General Intelligence Is Pure Hype
16:51
Where FICO Gets Its Data for Screening Two-Thirds of All Card Transactions
11:30
Forbes Article: 3 Ways Predictive AI Delivers More Value Than Generative AI
18:53
SMR Article: The Rare, Crucial Move to Business Metrics for Establishing ML's Value
45:15
The AI Playbook: How to Capitalize on Machine Learning
18:04
Five insights from "The AI Playbook"
14:55
HBR Article: The AI Hype Cycle Is Distracting Companies
44:36
Most ML models don't deploy β but they could
34:02
Eric Siegel - sample keynote on predictive analytics - 2016
43:38
Eric Siegel - sample keynote on predictive analytics - September 2016
22:54
Eric Siegel keynote at Databricks - Machine Learning and Predictive Analytics
19:09
Five Reasons to Go to Machine Learning Week, June 19-24 2022 in Vegas
28:25
Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
28:25
Why Deep Learning Could Expedite the Next AI Winter
41:10
P-Hacking: How to Know Your Predictive Discovery Is Conclusive
04:44
How computers "understand" English with machine learning
33:12
Real-Time Machine Learning: Why Itβs Vital and How to Do It
30:42
The Accuracy Fallacy and the Mediaβs Bogus Coverage of AI
26:01
Models Are Rarely Deployed β an Industrywide Failure in Machine Learning Leadership
04:37
Why learning about overall machine learning helps you with deep learning
08:04
Why data scientists should take a machine learning course that's not hands-on
04:15
10 intriguing questions answered in "Machine Learning Leadership and Practice β End-to-End Mastery"
07:23
Machine learning in 20 seconds β "Machine Learning Leadership and Practice β End-to-End Mastery"
09:55
Accuracy fallacy #2: predict psychosis, criminality, bestsellers β from "ML Leadership and Practice"
09:03
Accuracy fallacy: the media's bogus coverage of ML β from "Machine Learning Leadership and Practice"
15:08
Explainable machine learning & model transparency β from "Machine Learning Leadership and Practice"
39:05
Why predictive insights from machine learning run the world
07:08
How machine learning works for social good β from "Machine Learning Leadership and Practice"
06:19
Legitimizing AI incurs great cost β "Machine Learning Leadership and Practice β End-to-End Mastery"
06:36
Dismantling the lie of artificial intelligence β from "Machine Learning Leadership and Practice"
07:52
The great AI myth: superintelligence β from "Machine Learning Leadership and Practice"
10:50
Six ethical quandaries of predictive policing β from "Machine Learning Leadership and Practice"
09:39
Inferring sensitive info β predicting pregnancy+ β from "Machine Learning Leadership and Practice"
08:27
Machine learning ethics as a form of social activism β "Machine Learning Leadership and Practice"
06:16
Predatory micro-targeting β from "Machine Learning Leadership and Practice β End-to-End Mastery"
07:27
The argument against discriminatory models β from "Machine Learning Leadership and Practice"
06:41
The trend towards discriminatory models β "Machine Learning Leadership and Practice β End-to-End"
07:28
Blatantly discriminatory models β "Machine Learning Leadership and Practice β End-to-End Mastery"
08:53
No, the 2016 election forecasts weren't bad β from "Machine Learning Leadership and Practice"
11:04
Five Reasons to Go to Machine Learning Week 2020, the Premier Conference β The Dr. Data Show
16:58
Persuasion Paradox: How Computers Optimize their Influence on You β The Dr. Data Show
11:46
Five Ways Your Safety Depends on Machine Learning β The Dr. Data Show
11:04
Five Reasons to Go to Mega-PAW Vegas 2019, the Premier ML Conference β The Dr. Data Show
12:47
Why Ice Cream Is Linked to Shark Attacks β Correlation/Causation β The Dr. Data Show
12:55
Why Vegetarians Miss Fewer Flights: Five Bizarre Insights from Data β The Dr. Data Show
11:27
Five Reasons Computers Predict When You'll Die β The Dr. Data Show
11:52
What the Heck Does βData Scienceβ Really Mean? The Dr. Data Show
05:41
How can you trust AI? The Dr. Data Show
07:35
Why Machine Learning Is the Coolest Science β The Dr. Data Show
03:58
"Target knew teen was pregnant before her dad" - Fox News
00:36
National Geographic: Eric Siegel on Predictive Analytics
00:45
Geek Rap Outtake - Crystal Ball Starts Fire a Year Later (LOW/NO AUDIO)
15:25
Eric Siegel Tries Color Blind-Correcting Glasses
00:48
Geek Rap Outtakes - Dr. Data in Six Locations
00:31
Geek Rap Outtake - Dr. Data on Location at Burning Man
01:50
Video Review of "Predictive Analytics" Book
00:38
Geek Rap Outtake - Dr. Data on Location in Cape Town
00:34
Geek Rap Outtake - Dr. Data in Antarctica - NO SOUND
01:35
Geek Rap Outtake - Dr. Data on Location in Sri Lanka
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About
Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI World, executive editor of The Machine Learning Times, and a frequent keynote speaker. He wrote the bestselling "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die," which has been used in courses at hundreds of universities, as well as "The AI Playbook: Mastering the Rare Art of Machine Learning Deployment." Ericβs interdisciplinary work bridges the stubborn tech/biz gap. At Columbia, he won the Distinguished Faculty award when teaching the graduate *computer science* courses in ML and AI. Later, he served as a *business school* professor at UVA Darden. Eric has appeared on numerous media channels, including Bloomberg, National Geographic, and NPR, and has published in Newsweek, HBR, SciAm blog, WaPo, WSJ, & more.
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