Data Science Happy Hour 65

1

Introduction

00:00 • 3min

2

Where Do You Go for for Information?

02:32 • 3min

3

How Do You Like, What's Your Features?

05:30 • 2min

4

Is There a Recommendor System?

07:59 • 2min

5

How to Ask Unwanted Questions on Discord and Slack Communities

09:41 • 3min

6

Building Community Groups

12:24 • 2min

7

66 Days of Discord

14:30 • 1min

8

I've Never Heard of It, but It's a Platform.

15:58 • 2min

9

Data Analysts - What's the Roll?

18:17 • 3min

10

The Old Man Answer Question

21:28 • 2min

11

Using a Date Column in a Relational Data Base for Analytics

23:23 • 2min

12

Is There a Better Way?

25:30 • 2min

13

Is There a Lincton Tes Here?

27:50 • 2min

14

Is Machine Learning a Good Idea?

29:31 • 4min

15

Data Science and Data Literacy

33:21 • 2min

16

Building an Ethics Programme

35:22 • 4min

17

The Importance of Cognitive Bias in Decision Making

39:52 • 2min

18

Machine Learning - Ethics in Machine Learning

42:00 • 2min

19

The Best Way to Operationalize an Ethics in Data Science

43:54 • 2min

20

Defining Bias in a Machine Learning Environment?

46:16 • 3min

21

Is It a Good Idea to Analyze Data?

49:17 • 3min

22

Do You Care About Pronouns?

51:57 • 2min

23

Is Race a Predictor?

54:08 • 2min

24

Data Scientists and Engineers Can Save Us From the Ethical Risks of a I

55:57 • 2min

25

Using Ontologies to Understand Value Systems

57:38 • 3min

26

Data Science in Scrum

01:00:53 • 3min

27

Machine Learning

01:03:25 • 2min

28

Do You Have a Model Development Workflow?

01:05:19 • 2min

29

How to Design a Good Recommendation System Test?

01:06:53 • 3min

30

How Do I Communicate to My Product Owner?

01:09:48 • 3min

31

The Comet Office Hours - Dr. Joe Peres

01:12:25 • 4min

Data Science Happy Hour 65 | 21JAN2022