Intro to Machine Learning with Google's Product Manager

1

Introduction

00:00 • 3min

2

Two Truths in One Line

03:04 • 5min

3

Machine Learning Is a Subfield of Artificial Intelligence

07:39 • 2min

4

Is Machine Learning a Subset of Artificial Sotion?

09:58 • 3min

5

Machine Learning - How to Ask Good Questions

13:14 • 3min

6

Alarithms or Models?

16:25 • 3min

7

Machine Learning

19:04 • 2min

8

How Do I Know if My Gas Turbine Is Working?

21:00 • 2min

9

How Do You Define Optima?

23:26 • 2min

10

Web Design, Machine Woring

25:15 • 3min

11

Is the Model Building Phase of the Machine Liner Process?

28:05 • 3min

12

Is There a Difference Between Foresight and Machine Learning?

31:16 • 2min

13

How to Build a Model to Tell You All?

33:37 • 2min

14

How to Train a Model?

35:33 • 3min

15

How to Build a Model

38:09 • 3min

16

Is There a Correct Analogy for Lagold?

40:54 • 3min

17

You're Not Using It Here

43:34 • 2min

18

Then I'm on to the Next Lodgmen.

46:02 • 2min

19

Is There a Better Model?

48:30 • 3min

20

Agio, Where Does Machine Learning Fit?

51:14 • 3min

21

Data Structures and Unstructured Data

54:01 • 3min

22

Big Data

56:31 • 2min

23

How to Clean Your Data

58:58 • 2min

24

Using Deep Learning Algorithms to Generate Predictions

01:01:22 • 4min

25

The Model Is a Live Model

01:05:17 • 3min

26

How to Deploy a Decision Tree Model

01:08:11 • 3min

27

The Heads Being Ake

01:10:52 • 2min

28

How to Use a Tree Goe Tool

01:12:44 • 4min

29

YU Se Se Donei, It Is Five Questions

01:16:18 • 2min

30

Are There Opportunities to Work in Machine Learning?

01:18:33 • 3min