Data Science Happy Hour 64

1

Introduction

00:00 • 3min

2

Medium Mixed Modelling? Anyone In?

03:05 • 2min

3

Isolating a Customer's Behavior

04:48 • 3min

4

How Much Money Should We Basely Be Giving?

07:47 • 3min

5

Is There a Difference Between Inbound and Outbound?

10:26 • 4min

6

The Difference Between a Schedule and an Orcestration Tool?

14:45 • 5min

7

Using a Cron Job in an Orchestration Environment?

20:01 • 2min

8

The Side Effects of Using Hub Actions

22:12 • 2min

9

How to Overcome Impostors an Drome?

24:23 • 2min

10

I've Been Trying to Learn Something New, but I Don't Know What to Do With It.

26:26 • 3min

11

The Greatest Conference Ever!

29:06 • 2min

12

The Island of Knowledge

30:47 • 2min

13

How Happy Are You, Joe?

32:42 • 2min

14

The Ratio of One Off Models Versus Long Trim Running Models?

34:41 • 3min

15

Is It a One Off Model or a Long Term Model?

37:50 • 2min

16

Do Thousands of Models or Zero Models?

40:13 • 2min

17

Is There a Difference Between a Robotic World and a Data Scientist's World?

42:19 • 4min

18

How Do We Allow Innovation and Experimentation in the Modeling Industry?

45:49 • 4min

19

M M Design for Continuous Experimentation

49:22 • 5min

20

I've Seen It in the Defense Rabotics Space

54:48 • 4min

21

Is It Like a Split Between Development and Production?

58:38 • 6min

22

Containerized Models Are All Layers on Topright?

01:04:10 • 3min

23

Robotics

01:07:30 • 2min

24

Microservice Deployment

01:09:06 • 1min

25

Is There a Difference Between Wearables and Robotics?

01:10:35 • 3min

26

Microservices Make Sense for Net Flik?

01:13:34 • 2min

27

What's Best Practice?

01:15:50 • 4min

Data Science Happy Hour 64 | 14JAN2022