Все публикации

0:34:51

Modern Statistics by Mike X Cohen, chapter 18

0:42:01

Modern Statistics by Mike X Cohen, chapter 13

0:07:05

Introduction to the audio version of the Modern Statistics book

1:46:48

Modern Statistics by Mike X Cohen, chapter 10

0:40:15

Modern Statistics by Mike X Cohen, chapter 01

0:05:23

Data and data visualizations: Types of data: categorical, numerical, etc.

0:04:08

Common statistical tests: regression

1:19:27

Modern statistics: Intuition, Math, Python, R :|: Chapter 12 exercise solutions and discussions

1:26:44

Modern statistics: Intuition, Math, Python, R :|: Chapter 04 exercise solutions and discussions

1:01:49

Modern statistics: Intuition, Math, Python, R :|: Chapter 10 exercise solutions and discussions

1:14:14

Modern statistics: Intuition, Math, Python, R :|: Chapter 08 exercise solutions and discussions

1:50:48

Modern statistics: Intuition, Math, Python, R :|: Chapter 15 exercise solutions and discussions

0:02:37

New book: Modern statistics: Intuition, Math, Python

0:01:46

Linear algebra for data science, chapter 15 exercise 7 (demonstrate eigenvector orthogonality)

0:06:05

Linear algebra for data science, chapter 15 exercise 12 (error as a function of reconstruction rank)

0:08:34

Linear algebra for data science, chapter 15 exercise 4 (PCA limitations shown in simulated data)

0:07:50

Linear algebra for data science, chapter 15 exercise 2 (PCA via SVD)

0:02:34

Linear algebra for data science, chapter 2 exercise 2 (vector norm)

0:05:27

Linear algebra for data science, chapter 13 exercise 2 (use geometry to find a code bug)

0:07:54

Linear algebra for data science, chapter 13 exercise 7 (shrinkage regularization for least-squares)

0:07:11

Linear algebra for data science, chapter 11 exercise 2 (residuals: orthogonal to the design matrix)

0:05:36

Linear algebra for data science, chapter 6 exercise 10 (non-zero determinants of singular matrices)

0:05:30

Linear algebra for data science, chapter 8 exercise 2 (full inverse algorithm)

0:03:39

Linear algebra for data science, chapter 4 exercise 2 (correlation vs. cosine similarity)