Unsupervised Machine Learning S01 E37

1

What Is Statistics

2

Mathematical Thinking

3

Mean, Median, and Mode: Measures of Central Tendency

4

Measures of Spread

5

Charts Are Like Pasta - Data Visualization Part 1

6

Plots, Outliers, and Justin Timberlake: Data Visualization Part 2

7

The Shape of Data: Distributions

8

Correlation Doesn’t Equal Causation

9

Controlled Experiments

10

Sampling Methods and Bias with Surveys

11

Science Journalism

12

Henrietta Lacks, the Tuskegee Experiment, and Ethical Data Collection

13

Probability Part 1: Rules and Patterns

14

Probability Part 2: Updating Your Beliefs with Bayes

15

The Binomial Distribution

16

Geometric Distributions and The Birthday Paradox

17

Randomness

18

Z-Scores and Percentiles

19

The Normal Distribution

20

Confidence Intervals

21

How P-Values Help Us Test Hypotheses

22

P-Value Problems

23

Playing with Power: P-Values Pt 3

24

You Know I’m All About that Bayes

25

Bayes in Science and Everyday Life

26

Test Statistics

27

T-Tests: A Matched Pair Made in Heaven

28

Degrees of Freedom and Effect Sizes

29

Chi-Square Tests

30

P-Hacking

31

The Replication Crisis

32

Regression

33

ANOVA

34

ANOVA Part 2: Dealing with Intersectional Groups

35

Fitting Models Is like Tetris

36

Supervised Machine Learning

37

Unsupervised Machine Learning

38

Intro to Big Data

39

Big Data Problems

40

Statistics in the Courts

41

Neural Networks

42

War

43

When Predictions Fail

44

When Predictions Succeed