Inside the Kaggle Grandmaster Team at NVIDIA (Theo Viel)

1

Introduction

00:00 • 2min

2

How Did You Get Into Machine Learning?

02:13 • 2min

3

How Did You Get Started in Karel?

03:50 • 2min

4

What Are Your CACL Stories?

06:13 • 2min

5

CABL Competitors - What's Your Favorite Part?

08:14 • 2min

6

What's Your Biggest Breakthrough in CAGOLA Competitions?

09:49 • 3min

7

Code Optimization

12:41 • 2min

8

The Machine Learning Process From a to Z

14:50 • 3min

9

How Do You Break Down Your Work in Two Months?

17:58 • 2min

10

How to Team Up With a Competitors?

19:48 • 2min

11

What's the Difference Between NVIDIA and Kaggle Grandmasters?

21:18 • 3min

12

Kaggle - What's Your Biggest Learning?

23:56 • 2min

13

How to Stay Essentially Sane When You're Working So Hard

25:39 • 2min

14

How Much Time Do You Spend in a Competition?

27:43 • 3min

15

Is That a Hardware Workstation?

30:26 • 2min

16

Cloud Computing vs Local Workstations

31:57 • 3min

17

Is Kaggle the Cutting Edge of Machine Learning?

34:48 • 2min

18

Kaggle - What Are Your Goals?

36:31 • 2min

19

Kaggle Grand Master Program

38:42 • 2min

20

Are Kaggle Competitors Relating to Data Scientists?

40:34 • 4min

21

Ken's Neighbors Podcast

44:11 • 2min

Inside the Kaggle Grandmaster Team at NVIDIA (Theo Viel) - KNN Ep. 141