Programming Throwdown

Machine Learning Embeddings with Edo Liberty

Sep 27, 2021
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Episode notes
1
Introduction
00:00 • 2min
2
Getting to Know Each Other and Having Lunch Together
01:31 • 2min
3
How Did You Make That Leap to Be an Entropnorso?
03:19 • 2min
4
A Month Worth of a Flow - I Didn't Need a Single Meat
05:20 • 2min
5
How to Build a Data Base?
07:00 • 2min
6
Using Deep Learning Nuanes to Train a Network
08:58 • 2min
7
The Magic of Imbedding
11:27 • 3min
8
How to Become a Gamer in a Thousand Dimensions
14:35 • 2min
9
The Curse of Dimensionality Is Working in Your Favor
16:28 • 2min
10
How Do You Remember When Your Son Sleeps?
18:28 • 2min
11
How to Get a Vecto Index for a Sentence?
20:42 • 2min
12
The Life Cycle of a Vector Mining System, Right?
22:52 • 2min
13
How Do You Accelerate a Ball?
24:59 • 3min
14
How to Search Clusters in Bedding Space
28:21 • 2min
15
A Very Cool Field of Research - Performance Computing Tricks
30:26 • 3min
16
The Quantitization of the Dot Product
33:33 • 2min
17
How to Do Random Projections Like Igrythmically Faster?
35:50 • 2min
18
Is There a Tree in High Dimensional Data?
37:42 • 2min
19
The Future of Search Engines
39:48 • 2min
20
How Do You Retrain a Model?
41:32 • 3min
21
Using a Regularized Regression Model to Boost Your Productivity
44:48 • 2min
22
Pine Con - What's a Day in the Life of Pine Con?
47:04 • 3min
23
Pine Cones - What's It Like?
49:37 • 2min
24
How to Scale a Big Data Warehouse?
51:48 • 2min
25
Using Python to Optimize Your Data Base for a Million Bettings
54:15 • 2min
26
Is There a Free Trial?
56:18 • 4min