154 - Just Tweak Some Parameters

1

Introduction

00:00 • 2min

2

Theme Parks - Is There a Lot to Love About Themes?

02:21 • 2min

3

Is the Price of a Ride Variable Over Time?

04:32 • 2min

4

Disney World

06:37 • 3min

5

How's the Casual Inference Podcast Going?

09:15 • 3min

6

How Much Bias Do You Have?

12:08 • 2min

7

Is There a Bias in Bayesian Statistics?

13:46 • 3min

8

How to Build a Prediction Model?

16:31 • 3min

9

Alkai - I'm Putting My Feet in My Mouth

19:40 • 2min

10

Is It the Like Variables That Make Sense?

21:13 • 2min

11

Is There a Random Forest Algorithm?

22:46 • 2min

12

How to Tune a Neural Network

24:47 • 1min

13

Is That Really a Good Strategy?

26:16 • 2min

14

Is Iterative Machine Learning Really a Crisis?

28:12 • 2min

15

I Don't Feel Good About It

30:06 • 3min

16

How to Fit a Simple Neural Network to Predict the Emness Dataset

32:45 • 2min

17

Neural Networks - Is There a Word for It?

34:53 • 2min

18

Deep Learning Examples - Is There a Way to Limit the Space?

36:46 • 1min

19

Neural Network Models Are Just as Good as They Get, Right?

38:03 • 2min

20

You Know I've Never Had to Fit a Prediction Model, Right?

39:46 • 4min

21

Is There Any Intuition About Variables?

44:00 • 2min

22

What's Going Wrong With AI Tools?

46:28 • 3min

23

The Font Causes the Font and the Font Does Cause the Font

49:18 • 3min

24

Prediction Modeling Is Not the Same as Causal Inference, Right?

52:30 • 2min

25

Is It Just the Font or Is It the Hospital They Landed In?

54:06 • 2min

26

Is There a Contrast Between Predicting Cancer and Precancers?

56:32 • 3min

27

Is There a Methodology to Do That?

59:14 • 2min

28

How to Write a Paper on Causal Inference

01:00:55 • 2min

29

Can You Get Academic Credit for Hosting a Website?

01:03:08 • 2min

30

Prediction Models Are Making a Comeback

01:04:47 • 2min