Adventures in Machine Learning

How to Learn a New Tool - ML 117

Jun 8, 2023
Ask episode
Chapters
Transcript
Episode notes
1
Introduction
00:00 • 2min
2
The Case Study of a Hugging Face Transformers Integration in MLflow
01:48 • 2min
3
The Value of a Transformer in MLflow
04:04 • 6min
4
MLflow: A New Flavor and ML Flow That Reduces Code Writing
09:42 • 4min
5
MLFlow's Abstract Wrapper Around the Transformers Flavors
13:15 • 2min
6
How to Interact With a Library
15:20 • 3min
7
How to Design a Python Flavor for Real Time Serving
18:01 • 5min
8
How to Use Docker to Advance Your Career
23:16 • 2min
9
How to Handle the Duality of Unknown in ML Flow Flavors
25:07 • 2min
10
How to Train a Model With ML Flow
27:10 • 3min
11
How to Serialize Objects in Python
30:09 • 2min
12
The Exploratory Phase of MLflow
32:07 • 3min
13
How to Use Debug Mode to Learn How to Contribute to a Structure
35:19 • 2min
14
The Importance of a Mental Model in a Framework
37:15 • 4min
15
The Art of Asking the Right Questions
41:30 • 5min
16
How to Write a Test-Informed Development Pipeline
46:48 • 4min
17
The Importance of Accuracy in Data Science
51:00 • 4min
18
Product Development for ML
55:22 • 2min
19
How to Negotiate a Raised Salary
57:25 • 2min
20
How to Implement a New Technology
59:01 • 2min