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 25 26
Introduction
00:00 • 2min
Getting to Know Each Other and Having Lunch Together
01:31 • 2min
How Did You Make That Leap to Be an Entropnorso?
03:19 • 2min
A Month Worth of a Flow - I Didn't Need a Single Meat
05:20 • 2min
How to Build a Data Base?
07:00 • 2min
Using Deep Learning Nuanes to Train a Network
08:58 • 2min
The Magic of Imbedding
11:27 • 3min
How to Become a Gamer in a Thousand Dimensions
14:35 • 2min
The Curse of Dimensionality Is Working in Your Favor
16:28 • 2min
How Do You Remember When Your Son Sleeps?
18:28 • 2min
How to Get a Vecto Index for a Sentence?
20:42 • 2min
The Life Cycle of a Vector Mining System, Right?
22:52 • 2min
How Do You Accelerate a Ball?
24:59 • 3min
How to Search Clusters in Bedding Space
28:21 • 2min
A Very Cool Field of Research - Performance Computing Tricks
30:26 • 3min
The Quantitization of the Dot Product
33:33 • 2min
How to Do Random Projections Like Igrythmically Faster?
35:50 • 2min
Is There a Tree in High Dimensional Data?
37:42 • 2min
The Future of Search Engines
39:48 • 2min
How Do You Retrain a Model?
41:32 • 3min
Using a Regularized Regression Model to Boost Your Productivity
44:48 • 2min
Pine Con - What's a Day in the Life of Pine Con?
47:04 • 3min
Pine Cones - What's It Like?
49:37 • 2min
How to Scale a Big Data Warehouse?
51:48 • 2min
Using Python to Optimize Your Data Base for a Million Bettings
54:15 • 2min
Is There a Free Trial?
56:18 • 4min