Weather forecasting with AI, Kaggle tips and tricks, dealing with missing data, deep learning with Jesper Dramsch, The Data Scientist Show #040

1

Introduction

00:00 • 2min

2

Machine Learning - What's Your Job Description?

02:24 • 2min

3

How to Improve Weather Forecast With Machine Learning?

04:00 • 3min

4

Machine Learning and Machine Learning Part 1

06:46 • 2min

5

Axibust

08:17 • 3min

6

How to Deal With a Seasonality Factor?

10:48 • 2min

7

Machine Learning for Tropical Cyclones

12:28 • 4min

8

Is It Possible to Add a New Column?

16:01 • 3min

9

Weather Forecasting

18:35 • 4min

10

Is Your Machine Learning Model Validated?

22:18 • 4min

11

Using Transformers for Forecasting

26:41 • 2min

12

The Benefits of Using Transformers

29:07 • 2min

13

Deep Learning Models

31:14 • 3min

14

Are You Able to Interpret the Attention Layers?

34:13 • 2min

15

Machine Learning Is Not Magic, Right?

36:13 • 3min

16

Can You Classify Images Using Convolutional Neuro Networks?

39:41 • 2min

17

Convolutional Nora Networks for Weather Data

42:06 • 2min

18

What Is Field Data?

44:20 • 3min

19

The Challenges of Validation in Weather Data

47:24 • 2min

20

Is Hubolos the Best Model Valuation Tool?

49:36 • 2min

21

Is There a Way to Reduce the Influence of Aliers?

51:34 • 2min

22

Is There a Difference Between a Lock Transform and a Binomial Distribution?

53:23 • 3min

23

What I Learned From Working on the Data Signs on Cagle?

56:27 • 6min

24

Using Test Time Augmentation to Make Your Model Perform Better?

01:02:33 • 3min

25

Pi Torch Lightning and Distributed Data Centres

01:06:01 • 2min

26

Is It a Carus or a Pytorch?

01:08:12 • 3min

27

How to Create a Reproducible Science?

01:11:26 • 5min

28

Machine Learning

01:16:00 • 2min

29

Is There a Difference Between Industry and Machine Learning?

01:17:32 • 4min

30

Did You Pass Your First Pity a Defence?

01:21:09 • 5min

31

What Doesn't Kill You Makes You Stronger?

01:25:45 • 2min

32

How Do You Feel When You Don't Do Your Master Degree?

01:27:42 • 5min

33

Are You Getting a Good Salary in the US?

01:33:11 • 4min

34

How Do You Continue to Learn?

01:36:52 • 4min

35

Data Visualizations

01:41:11 • 2min

36

Do You Have Any Books You'd Like to Share?

01:42:51 • 2min

37

Are You Always Learning in a Way?

01:44:51 • 2min

38

The Future of Machine Learning

01:46:31 • 2min

39

Are You a Bigger Creator Than Me?

01:48:28 • 4min

40

Data Science and Industry Learned Domain Knowledge

01:52:39 • 4min

41

What's Your Career Journey?

01:56:27 • 2min