Anthony Goldbloom — How to Win Kaggle Competitions
Anthony Goldbloom is the founder and CEO of Kaggle. In 2011 & 2012, Forbes Magazine named Anthony as one of the 30 under 30 in technology. In 2011, Fast Company featured him as one of the innovative thinkers who are changing the future of business.
He and Lukas discuss the differences in strategies that do well in Kaggle competitions vs academia vs in production. They discuss his 2016 Ted talk through the lens of 2020, frameworks, and languages.
Topics Discussed:
0:00 Sneak Peek
0:20 Introduction
0:45 methods used in kaggle competitions vs mainstream academia
2:30 What are people doing to win…
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Chapters (18)
Sneak Peek
0:20
Introduction
0:45
methods used in kaggle competitions vs mainstream academia
2:30
What are people doing to win competitions/feature engineering
3:55
Kaggle Competitions now vs 10 years ago
8:35
Data augmentation strategies
10:06
Overfitting in Kaggle Competitions
12:53
How to not overfit
14:11
Kaggle competitions vs the real world
18:15
Getting into ML through Kaggle
22:03
Other Kaggle products
25:48
Favorite under appreciated kernel or dataset
28:27
Python & R
32:03
Frameworks
35:15
2016 Ted talk though the 2020 frame
37:54
Reinforcement Learning
38:43
What’s the topic in ML that people don’t talk about enough?
42:02
Where are the biggest bottlenecks in deploying ML software?
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