Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Introduction
00:00 • 5min
How to Get Warren Buffett's Money
04:54 • 2min
How Do You Feel Today?
06:44 • 2min
How Well Did I Predict in Order to Get Worn Buffets Money?
08:17 • 2min
Why Machine Learning Is Hard
09:53 • 2min
Predictive Models
11:56 • 2min
How Many Relevant Data Points Do You Need for Your Validation Data?
13:33 • 3min
How to Solve a 99-Percent Problem
16:15 • 2min
Hello Fresh Makes Meal Time Easier Than You Think
18:18 • 5min
How to Qualify Motivation Styles of Play and Performance Under Pressure
22:59 • 2min
The Motivation of College Athletes
24:55 • 2min
Using Machine Learning Algorithms Like Gradient Buffering to Find Patterns in the Noise
26:34 • 2min
The Biggest Loss in Machine Learning
28:08 • 3min
Kenyans Win Marathons - I'm Not Going to Be a Professional Wrestler
30:50 • 2min
Fenway Is Different Than Playing It Rigly Field
32:30 • 2min
The Ultimate Home Field Advantage
34:25 • 3min
Black and Unlimited - The All New All Electric Nissan Area
37:07 • 5min
The Martian Basketball Court Is More Like Basketball
41:39 • 2min
How to Shoot a Ball From Behind the Three-Point Line
43:46 • 3min
What Is Intelligence?
46:39 • 2min
Are We Waiting for a Machine to Say, Hey, Leave Me Alone, I Haven't Had My Coffee?
48:41 • 2min
The Future of Machines Isn't a Terminator
50:23 • 2min
The Factor Man and God's Algorithm
52:13 • 2min
Save Big Money at the Yards
54:05 • 2min