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
Introduction
00:00 • 4min
The Intersection of ML and DevOps
03:36 • 2min
The Importance of Process in DevOps
05:10 • 4min
The Differences Between ML and Data Modeling
09:14 • 5min
The Importance of Data Engineering
13:55 • 2min
The Importance of Data Engineering in DevOps
15:26 • 3min
The Problem With the Size and Resolution of Data
18:33 • 5min
How to Make Money as a Data Scientist
23:05 • 2min
The Evolution of Vectorization
25:15 • 2min
The Benefits of Stats Models for Machine Learning
27:20 • 5min
How to Optimize a Tight for Loop
32:13 • 3min
The Importance of Context in Software Development
35:26 • 6min
The Importance of Readability in Code
40:58 • 2min
The Importance of Comments to Comments
43:13 • 6min
How to Run Parallel Operations on a Large Task Graph
49:04 • 5min
How Databricks Scales Up a Queue
53:49 • 2min
The Importance of Abstract Computing in Cloud Computing
55:31 • 3min
The Future of HPC
58:02 • 4min
The Future of Computing
01:02:27 • 2min
AI to Take Our Jobs?
01:04:48 • 2min
The Future of Software Development
01:06:24 • 2min