Data Science Happy Hour 78

1

Introduction

00:00 • 2min

2

The Best Part of ODS?

02:09 • 3min

3

Is There a Consensus on Machine Learning Models?

04:59 • 3min

4

I'm in a Lot of Conversations About Exploratory Analysis, You Know?

07:46 • 3min

5

The Balance Between Innovation and Technical Debt

10:57 • 3min

6

Change Management - Is There a Back Up Plan or a Mitigation Plan?

13:30 • 2min

7

Observability Verss Explainability in Machine Learning?

15:06 • 2min

8

The Value of Data Science Tools Is in the Risking

17:14 • 3min

9

Are You Using Interpretably Explainable Tools in Your Data Science Projects?

19:52 • 5min

10

Risk Analysis in a Highly Regulated Environment

24:47 • 3min

11

Is Your Decision Unanimous?

27:53 • 3min

12

Is the Model Working?

30:34 • 2min

13

How to Label More Users of Social Media Sites?

32:16 • 2min

14

The Social Mediate Company Is Making Money on Themselves

33:46 • 2min

15

Semi Supervision or Weak Labelling?

35:30 • 4min

16

Using a Heristic Analysis to Detect Bot Behavior

39:39 • 2min

17

How to Identify Patterns in a Data Set, Right?

42:02 • 4min

18

Data Scientists Learning Gild on Linkton

46:13 • 2min

19

Predictive Analysis - Is That What You're Getting At?

47:55 • 2min

20

Is It a Rat's Nest?

50:05 • 2min

21

How Do Non Drivable Vehicles Accrue More Customer Calls Than Drivabll Vehicles?

51:55 • 2min

22

How Do You Solve This Case Study?

54:05 • 4min

23

Interview Questions - Was This an Interview Question?

57:39 • 2min

24

How Do We Reduce Number of Total Incoming Calls?

59:13 • 2min

25

Are You Trying to Reduce the Number of Calls?

01:01:26 • 3min

26

What Are You Expecting From Your Data Scientists?

01:04:31 • 5min

27

I'm Sorry, but He's Not at the Fountain Pen Flea Market, You Know?

01:09:47 • 3min

28

Is Everything Rad?

01:13:07 • 2min

29

What Are You Hiring for the Staff Data Scientist?

01:14:46 • 3min

30

Execution Plan - The Only Thing That's Missing There Allignment

01:17:40 • 3min

31

How to Manage Long Tome Projects

01:20:21 • 2min

32

Are You a Data Product Manager?

01:22:09 • 2min

33

The Challenge Is Breaking Down the Projects

01:24:15 • 2min

34

Data Product Management - What's the Difference?

01:26:01 • 4min

35

I'm Become the Bottleneck

01:29:56 • 4min

36

How to Get Bying From the Top

01:33:50 • 3min

37

How to Manage Projects in a Short Timeframe?

01:37:17 • 2min

38

How Do You Convince a Pharmasutical Company That They Need Data Science?

01:39:16 • 2min

39

How Would You Convince a Company That They Need Deascience Operations?

01:41:38 • 2min

40

Data Science

01:43:10 • 3min

Data Science Happy Hour 78 | 22APR2022