Data Science Happy Hour 77

1

Introduction

00:00 • 4min

2

Should You Quit Your Job?

03:52 • 4min

3

Is Machine Learning Engineering a Good Career Path?

07:40 • 3min

4

Data Engineering

10:23 • 2min

5

Using Auto M L in Data Science

12:17 • 4min

6

Should I Quit My Job as a Data Engineer?

16:07 • 2min

7

Do You Want to Break Into Data Science?

18:31 • 2min

8

Data Engineering

20:29 • 5min

9

Are You Concerned About the Twitter Thing?

25:04 • 2min

10

Free Speech - I'm Just Worried About That

27:17 • 4min

11

Is It All About Free Speech?

31:45 • 2min

12

Information Architecture

33:50 • 4min

13

Do You Have a Good Relationship?

37:49 • 4min

14

Identifying a Weakness

41:31 • 2min

15

Do You Know How to Write the Most Efficient Sequence Queries?

43:16 • 4min

16

A, I'm a Newbie to the Fielding Te Tresans.

47:33 • 2min

17

I'm Not the Biggest Software Engineering Giggle, but Am Definitely Am.

49:48 • 4min

18

Information and Data Are Very, Very Much Connected

54:03 • 4min

19

Information Architecture

57:33 • 2min

20

Building a Behavior Ontology

01:00:02 • 3min

21

How Do You Organize Your Ontologies?

01:02:37 • 4min

22

How Do I Find Out What the Base Value Is?

01:06:13 • 2min

23

Is the Base Value a House?

01:08:15 • 2min

24

Is Three Point Three, Six Two to the Split Point?

01:10:11 • 2min

25

Is the Base Value Normalized to a Digetal Return?

01:11:47 • 4min

26

Do You Have a Curriculum for Data Silence?

01:15:26 • 2min

27

Building a Network

01:17:06 • 2min

28

Getting a Grassier Perspective of the Industry

01:19:24 • 2min

29

Getting to the B C Level and Getting Customers

01:21:49 • 2min

30

Is There a Latte Story for Thedity?

01:23:38 • 2min

31

Are You Building a Free Resource?

01:25:53 • 6min

32

I'll Be at Odos in Boston on the Nineteenth to the 20th of April.

01:31:33 • 2min

33

66 Days of M Lops Podcast

01:33:19 • 2min

Data Science Happy Hour 77 | 15APR2022