249: Diving Into Data Science Consulting

1

Introduction

00:00 • 2min

2

The Future of Data Science

02:30 • 4min

3

SFL Scientific's Mike Sigala on the Weather in Boston

06:06 • 3min

4

How to Keep Up With the Data Science Projects

08:52 • 3min

5

The Transferability of Data Science Skills

11:48 • 3min

6

How to Grow Your Data Science Team

14:33 • 4min

7

The Importance of Data Science in the Workplace

18:45 • 2min

8

The Importance of Integration and Productionization in Data Science

20:37 • 2min

9

How Much Time Does a Data Science Project Take?

22:34 • 2min

10

The Hidden Complexity of Data Science Projects

24:52 • 2min

11

Why We Care About Automation of Medical Imaging

26:25 • 4min

12

The Complexity of Deep Learning

30:03 • 2min

13

The Importance of Creativity in Deep Learning

32:12 • 3min

14

The Importance of Starting Small

35:13 • 2min

15

The Importance of Medical Imaging in Airport Security

37:18 • 2min

16

Machine Learning and the Future of Logistics

38:53 • 4min

17

How to Solve Bottlenecks in Logistics

42:28 • 2min

18

The Most Useful Approach to Machine Learning

44:47 • 2min

19

How to Optimize Roots for Clinical Trials

46:20 • 3min

20

How to Trick Your Energy Meter

48:54 • 2min

21

How to Deal With a Problem With Only 20 Positive Examples

51:18 • 2min

22

The Importance of False Positives in Algorithms

53:07 • 2min

23

The Power of Energy Disaggregation

55:11 • 2min

24

How to Desegregate Components of a Signal

56:46 • 3min

25

The Future of Data Science

59:29 • 2min

26

The Importance of Consulting in Data Science

01:01:46 • 4min

27

How to Be a Successful Data Scientist

01:06:00 • 2min

28

How to Deal With Unbalanced Data

01:08:17 • 2min