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
Introduction
00:00 • 2min
The Story of Batch O'Hare
02:28 • 2min
What Is the Connection Between Story One and Story Two?
04:52 • 3min
Product Management and Recent Trends of AI
07:34 • 3min
What Is Life Cycle Management?
10:25 • 3min
Product Leadership - Product Planning
13:25 • 4min
How to Prioritize Your Product Investments?
17:17 • 2min
Product Life Cycle Management
19:31 • 2min
How to Maximize Product Revenue
21:40 • 3min
Machine Learning - The Red Line Shows.
24:28 • 2min
Deep Learning Models and Scaling Models
26:47 • 3min
How to Break the DL Models, Deep Learning Models
29:36 • 3min
DL Model
33:02 • 2min
Ai
35:18 • 2min
Deep Learning and Product Management - What's Going to Happen?
37:05 • 2min
Product Manager
39:23 • 2min
AI Is the Electricity, Data Is the Oil
41:28 • 2min
Classify Automate Predict, Classify Predict and Predict.
43:50 • 2min
What's Precision or Recall?
46:17 • 4min
The Difference Between Precision and Recall
50:15 • 3min
Is Precision Better Than Netflix?
52:51 • 3min
The Precision Recall Depends on Where You Stand
55:51 • 3min
Testing the Whole Iterative Process Becomes More and More
58:37 • 3min
Data Is Messy. And Data Can Drift
01:01:28 • 3min
Data Science
01:04:15 • 3min