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 • 5min
Machine Learning Versus Deep Learning
04:46 • 2min
The Most Important Algorithm That's Been Invented in the Last 20 Years
06:20 • 4min
How to Start Using Open AI
10:49 • 1min
Databricks: A New Way to Integrate Hugging Face and MLflow
12:19 • 3min
The Importance of Huggingface
15:49 • 4min
How to Build a Conversational Chatbot With Hugging Face Transformers
19:29 • 2min
The Worst Thing Ever
21:51 • 6min
How to Label Data in Machine Learning
27:26 • 3min
The Cost of Human Curated Data
30:04 • 5min
How to Use Docker to Advance Your Career
35:04 • 3min
Machine Learning for Predictive Labor Yield
37:55 • 3min
How to Build a Decision Tree to Increase Complexity
40:36 • 2min
How Much Time Would You Spend on Deep Learning?
42:29 • 5min
How to Create a Decision Logic Based on Heuristics
47:14 • 5min
How Many Models Have You Trained in Your Career?
52:01 • 2min
The Legality of Rare Deep Learning
54:20 • 2min
The Problem With GitHub's Image Generation
56:34 • 5min
The Altruism of Hugging Face
01:01:59 • 3min
How to Negotiate a Raised Salary
01:05:20 • 3min
How to Transition From Software Engineering to Machine Learning
01:08:18 • 3min