Explore Library
AI FundamentalsProbability, Statistics, and Linear Algebra for AI

33 items

1

P-value Significance Check Bug

Code Quiz
2

Understanding P-values and Correlation

Quiz
3

Population Variance Bug

Code Quiz
4

Mean vs Median in Skewed Data

Quiz
5

Hypothesis Testing, P-values & Causation

Slides / Video
6

P-values and Correlation vs Causation

Flashcard
7

Hypothesis Testing, p-values & Intervals

Slides / Video
8

P-values & Confidence Intervals

Flashcard
9

Extracting an Eigenvector from np.linalg.eig

Code Quiz
10

Data as Vectors and Matrices

Slides / Video
11

Gradients and Partial Derivatives

Slides / Video
12

Singular Value Decomposition Basics

Slides / Video
13

Matrix Transpose and Inverse

Slides / Video
14

Linear Independence, Span, and Basis

Slides / Video
15

Vector Norms and Distance Metrics

Slides / Video
16

Dot Product and Vector Similarity

Slides / Video
17

Matrix Multiplication in AI

Slides / Video
18

Matrices and Matrix Operations

Slides / Video
19

Vectors and Vector Operations

Slides / Video
20

Confidence Intervals

Slides / Video
21

Hypothesis Testing and p-values

Slides / Video
22

Sampling and the Central Limit Theorem

Slides / Video
23

Descriptive Statistics: Center and Spread

Slides / Video
24

Maximum Likelihood Estimation

Slides / Video
25

Joint, Marginal, Conditional Distributions

Slides / Video
26

Covariance and Correlation

Slides / Video
27

Expectation, Variance, Standard Deviation

Slides / Video
28

Bayes' Theorem in AI

Slides / Video
29

Conditional Probability and Independence

Slides / Video
30

Gaussian, Bernoulli, Binomial Distributions

Slides / Video
31

Discrete vs Continuous Distributions

Slides / Video
32

Random Variables and Distributions

Slides / Video
33

Eigenvalues and Eigenvectors Basics

Slides / Video
QuizAdvanced

Understanding P-values and Correlation

Learn what a p-value actually means and why correlation does not imply causation.

A study finds ice cream sales and drowning deaths are strongly correlated (r = 0.9, p < 0.01). What is the most accurate conclusion?