Data Science Happy Hour 58

1

Introduction

00:00 • 4min

2

Is There a Difference Between Data Science and Machine Learning?

03:35 • 2min

3

What Does It Mean to Think Like a Data Scientist?

05:06 • 2min

4

Thinking Like a Data Scientist

06:49 • 2min

5

Vivian Ten Denmark, What Does It Mean to Think Like a Day to Scientist?

09:00 • 2min

6

What Is It Like to Think Like a Senior Data Scientist?

10:42 • 4min

7

Optimology Data, Soic A.

14:53 • 2min

8

Do You Think Mark of the Past Is Ferly Helpful?

16:31 • 2min

9

Data Science

18:11 • 2min

10

A N S, Dot a I, Note Book as a Service

20:31 • 2min

11

Is There an Alternative Out There?

22:23 • 2min

12

How to Get Fast Results With Jupiter

24:13 • 2min

13

The Star Framework

25:48 • 2min

14

How to Influence People in Your Organization?

27:53 • 2min

15

How to Accelerate Excel Data

29:34 • 2min

16

I S Gys Hearing. Surge Bot.

31:28 • 2min

17

Is Exell a Successor to Exell?

33:17 • 2min

18

The Biggest Reason for Moving Away From Excel

35:06 • 3min

19

Is It My Responsibility to Take the Frog Out of Boiling Water?

37:57 • 1min

20

I'm in a Position Where I'd Like to Propose How to Move the Industry

39:22 • 2min

21

A Gray Comet's Cost

41:22 • 2min

22

The Science of Machine Learning

43:21 • 2min

23

Data Science as Value Generator or Revenue Generator?

45:41 • 4min

24

Using Machine Learning to Make Big Decisions

50:00 • 2min

25

Is There a Behavior Model for Your Business Model?

52:07 • 2min

26

Is There a Moral Compass?

53:46 • 2min

27

The Future of Explanability

55:51 • 3min

28

Machine Learning

58:40 • 2min

29

Is There a New Tool for Causative Inference?

01:00:34 • 2min

30

What's the Future of Ai Explainability?

01:02:38 • 2min

31

Data Gover

01:04:15 • 2min

Data Science Happy Hour 58 | 12NOV2021