StatQuest with Josh Starmer

StatQuest with Josh Starmer

Statistics, Machine Learning, Data Science, and AI seem like very scary topics, but since each technique is really just a ...

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StatQuest: Logistic Regression

StatQuest with Josh Starmer

StatQuest: Logistic Regression

8 years ago - 8:48

StatQuest: Principal Component Analysis (PCA), Step-by-Step

StatQuest with Josh Starmer

StatQuest: Principal Component Analysis (PCA), Step-by-Step

8 years ago - 21:58

Linear Regression, Clearly Explained!!!

StatQuest with Josh Starmer

Linear Regression, Clearly Explained!!!

3 years ago - 27:27

StatQuest: Histograms, Clearly Explained

StatQuest with Josh Starmer

StatQuest: Histograms, Clearly Explained

8 years ago - 3:42

StatQuest: Random Forests Part 1 - Building, Using and Evaluating

StatQuest with Josh Starmer

StatQuest: Random Forests Part 1 - Building, Using and Evaluating

8 years ago - 9:54

StatQuest: K-means clustering

StatQuest with Josh Starmer

StatQuest: K-means clustering

8 years ago - 8:30

ROC and AUC, Clearly Explained!

StatQuest with Josh Starmer

ROC and AUC, Clearly Explained!

7 years ago - 16:17

Statistical Power, Clearly Explained!!!

StatQuest with Josh Starmer

Statistical Power, Clearly Explained!!!

6 years ago - 8:19

R-squared, Clearly Explained!!!

StatQuest with Josh Starmer

R-squared, Clearly Explained!!!

11 years ago - 11:01

The StatQuest Introduction to PyTorch

StatQuest with Josh Starmer

The StatQuest Introduction to PyTorch

4 years ago - 23:22

In Statistics, Probability is not Likelihood.

StatQuest with Josh Starmer

In Statistics, Probability is not Likelihood.

8 years ago - 5:01

StatQuest: t-SNE, Clearly Explained

StatQuest with Josh Starmer

StatQuest: t-SNE, Clearly Explained

8 years ago - 11:48

Logistic Regression Details Pt1: Coefficients

StatQuest with Josh Starmer

Logistic Regression Details Pt1: Coefficients

8 years ago - 19:02

p-values: What they are and how to interpret them

StatQuest with Josh Starmer

p-values: What they are and how to interpret them

6 years ago - 11:21

Bootstrapping Main Ideas!!!

StatQuest with Josh Starmer

Bootstrapping Main Ideas!!!

5 years ago - 9:27

StatQuest: PCA main ideas in only 5 minutes!!!

StatQuest with Josh Starmer

StatQuest: PCA main ideas in only 5 minutes!!!

8 years ago - 6:05

Confidence Intervals, Clearly Explained!!!

StatQuest with Josh Starmer

Confidence Intervals, Clearly Explained!!!

11 years ago - 6:42

StatQuest: Decision Trees, Part 2 - Feature Selection and Missing Data

StatQuest with Josh Starmer

StatQuest: Decision Trees, Part 2 - Feature Selection and Missing Data

8 years ago - 5:16

Using Linear Models for t tests and ANOVA, Clearly Explained!!!

StatQuest with Josh Starmer

Using Linear Models for t tests and ANOVA, Clearly Explained!!!

3 years ago - 11:38

Hypothesis Testing and The Null Hypothesis, Clearly Explained!!!

StatQuest with Josh Starmer

Hypothesis Testing and The Null Hypothesis, Clearly Explained!!!

6 years ago - 14:41

StatQuest: PCA - Practical Tips

StatQuest with Josh Starmer

StatQuest: PCA - Practical Tips

8 years ago - 8:20

How to Prune Regression Trees, Clearly Explained!!!

StatQuest with Josh Starmer

How to Prune Regression Trees, Clearly Explained!!!

6 years ago - 16:15

StatQuest:  One or Two Tailed P-Values

StatQuest with Josh Starmer

StatQuest: One or Two Tailed P-Values

9 years ago - 7:06

Quantile-Quantile Plots (QQ plots), Clearly Explained!!!

StatQuest with Josh Starmer

Quantile-Quantile Plots (QQ plots), Clearly Explained!!!

8 years ago - 6:56

StatQuest: Hierarchical Clustering

StatQuest with Josh Starmer

StatQuest: Hierarchical Clustering

9 years ago - 11:19

Reinforcement Learning: Essential Concepts

StatQuest with Josh Starmer

Reinforcement Learning: Essential Concepts

1 year ago - 18:13

The Essential Main Ideas of Neural Networks

StatQuest with Josh Starmer

The Essential Main Ideas of Neural Networks

5 years ago - 18:54

Machine Learning Fundamentals: Cross Validation

StatQuest with Josh Starmer

Machine Learning Fundamentals: Cross Validation

8 years ago - 6:05

The Main Ideas behind Probability Distributions

StatQuest with Josh Starmer

The Main Ideas behind Probability Distributions

9 years ago - 5:15

The Central Limit Theorem, Clearly Explained!!!

StatQuest with Josh Starmer

The Central Limit Theorem, Clearly Explained!!!

7 years ago - 7:35

Maximum Likelihood For the Normal Distribution, step-by-step!!!

StatQuest with Josh Starmer

Maximum Likelihood For the Normal Distribution, step-by-step!!!

7 years ago - 19:50

Sampling from a Distribution, Clearly Explained!!!

StatQuest with Josh Starmer

Sampling from a Distribution, Clearly Explained!!!

9 years ago - 3:49

Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!!

StatQuest with Josh Starmer

Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!!

3 years ago - 36:15

A Gentle Introduction to Machine Learning

StatQuest with Josh Starmer

A Gentle Introduction to Machine Learning

7 years ago - 12:45

Regularization Part 1: Ridge (L2) Regression

StatQuest with Josh Starmer

Regularization Part 1: Ridge (L2) Regression

7 years ago - 20:27

The Essence of Linear Regression!!!

StatQuest with Josh Starmer

The Essence of Linear Regression!!!

2 months ago - 32:01

Encoder-Only Transformers (like BERT) for RAG, Clearly Explained!!!

StatQuest with Josh Starmer

Encoder-Only Transformers (like BERT) for RAG, Clearly Explained!!!

1 year ago - 18:52

Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)

StatQuest with Josh Starmer

Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)

5 years ago - 15:24

How to calculate p-values

StatQuest with Josh Starmer

How to calculate p-values

6 years ago - 25:15

AdaBoost, Clearly Explained

StatQuest with Josh Starmer

AdaBoost, Clearly Explained

7 years ago - 20:54

Recurrent Neural Networks (RNNs), Clearly Explained!!!

StatQuest with Josh Starmer

Recurrent Neural Networks (RNNs), Clearly Explained!!!

4 years ago - 16:37

Long Short-Term Memory (LSTM), Clearly Explained

StatQuest with Josh Starmer

Long Short-Term Memory (LSTM), Clearly Explained

3 years ago - 20:45

Gradient Boost Part 1 (of 4): Regression Main Ideas

StatQuest with Josh Starmer

Gradient Boost Part 1 (of 4): Regression Main Ideas

7 years ago - 15:52

💜StarQuest THE MOVIE!

Katherine Elizabeth

💜StarQuest THE MOVIE!

3 years ago - 4:36:45

Entropy (for data science) Clearly Explained!!!

StatQuest with Josh Starmer

Entropy (for data science) Clearly Explained!!!

4 years ago - 16:35

How AI works in Super Simple Terms!!!

StatQuest with Josh Starmer

How AI works in Super Simple Terms!!!

6 months ago - 22:51

Neural Networks Pt. 2: Backpropagation Main Ideas

StatQuest with Josh Starmer

Neural Networks Pt. 2: Backpropagation Main Ideas

5 years ago - 17:34

Bayes' Theorem, Clearly Explained!!!!

StatQuest with Josh Starmer

Bayes' Theorem, Clearly Explained!!!!

4 years ago - 14:00

Gradient Descent, Step-by-Step

StatQuest with Josh Starmer

Gradient Descent, Step-by-Step

7 years ago - 23:54

The Chain Rule, Clearly Explained!!!

StatQuest with Josh Starmer

The Chain Rule, Clearly Explained!!!

6 years ago - 18:24

Support Vector Machines Part 1 (of 3): Main Ideas!!!

StatQuest with Josh Starmer

Support Vector Machines Part 1 (of 3): Main Ideas!!!

6 years ago - 20:32

The Binomial Distribution and Test, Clearly Explained!!!

StatQuest with Josh Starmer

The Binomial Distribution and Test, Clearly Explained!!!

7 years ago - 15:47

Pearson's Correlation, Clearly Explained!!!

StatQuest with Josh Starmer

Pearson's Correlation, Clearly Explained!!!

6 years ago - 19:13

Expected Values, Main Ideas!!!

StatQuest with Josh Starmer

Expected Values, Main Ideas!!!

5 years ago - 13:39

Clustering with DBSCAN, Clearly Explained!!!

StatQuest with Josh Starmer

Clustering with DBSCAN, Clearly Explained!!!

4 years ago - 9:30

Odds and Log(Odds), Clearly Explained!!!

StatQuest with Josh Starmer

Odds and Log(Odds), Clearly Explained!!!

8 years ago - 11:31

Quantiles and Percentiles, Clearly Explained!!!

StatQuest with Josh Starmer

Quantiles and Percentiles, Clearly Explained!!!

8 years ago - 6:30

The Normal Distribution, Clearly Explained!!!

StatQuest with Josh Starmer

The Normal Distribution, Clearly Explained!!!

8 years ago - 5:13

The StatQuest Illustrated Guide To Machine Learning, Theme Song!!!

StatQuest with Josh Starmer

The StatQuest Illustrated Guide To Machine Learning, Theme Song!!!

4 years ago - 0:15

Neural Networks Part 6: Cross Entropy

StatQuest with Josh Starmer

Neural Networks Part 6: Cross Entropy

5 years ago - 9:31

The Simplex Algorithm, Mathematical Details!!!

StatQuest with Josh Starmer

The Simplex Algorithm, Mathematical Details!!!

3 weeks ago - 26:38

Word Embedding and Word2Vec, Clearly Explained!!!

StatQuest with Josh Starmer

Word Embedding and Word2Vec, Clearly Explained!!!

3 years ago - 16:12

Naive Bayes, Clearly Explained!!!

StatQuest with Josh Starmer

Naive Bayes, Clearly Explained!!!

6 years ago - 15:12

Power Analysis, Clearly Explained!!!

StatQuest with Josh Starmer

Power Analysis, Clearly Explained!!!

6 years ago - 16:45

Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!!

StatQuest with Josh Starmer

Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!!

2 years ago - 36:45

Tensors for Neural Networks, Clearly Explained!!!

StatQuest with Josh Starmer

Tensors for Neural Networks, Clearly Explained!!!

4 years ago - 9:40

StatQuest: Random Forests Part 2: Missing data and clustering

StatQuest with Josh Starmer

StatQuest: Random Forests Part 2: Missing data and clustering

1 month ago - 10:48

Regularization Part 2: Lasso (L1) Regression

StatQuest with Josh Starmer

Regularization Part 2: Lasso (L1) Regression

7 years ago - 8:19

Calculating the Mean, Variance and Standard Deviation, Clearly Explained!!!

StatQuest with Josh Starmer

Calculating the Mean, Variance and Standard Deviation, Clearly Explained!!!

7 years ago - 14:22

Neural Networks Pt. 3: ReLU In Action!!!

StatQuest with Josh Starmer

Neural Networks Pt. 3: ReLU In Action!!!

5 years ago - 8:58

Stochastic Gradient Descent, Clearly Explained!!!

StatQuest with Josh Starmer

Stochastic Gradient Descent, Clearly Explained!!!

7 years ago - 10:53

Machine Learning Fundamentals: The Confusion Matrix

StatQuest with Josh Starmer

Machine Learning Fundamentals: The Confusion Matrix

7 years ago - 7:13

p-hacking: What it is and how to avoid it!

StatQuest with Josh Starmer

p-hacking: What it is and how to avoid it!

6 years ago - 13:45

Support Vector Machines Part 2: The Polynomial Kernel (Part 2 of 3)

StatQuest with Josh Starmer

Support Vector Machines Part 2: The Polynomial Kernel (Part 2 of 3)

6 years ago - 7:15

Maximum Likelihood, clearly explained!!!

StatQuest with Josh Starmer

Maximum Likelihood, clearly explained!!!

9 years ago - 6:12

Machine Learning Fundamentals: Sensitivity and Specificity

StatQuest with Josh Starmer

Machine Learning Fundamentals: Sensitivity and Specificity

6 years ago - 11:47

Gradient Boost Part 2 (of 4): Regression Details

StatQuest with Josh Starmer

Gradient Boost Part 2 (of 4): Regression Details

7 years ago - 26:46

Regression Trees, Clearly Explained!!!

StatQuest with Josh Starmer

Regression Trees, Clearly Explained!!!

6 years ago - 22:33

Attention for Neural Networks, Clearly Explained!!!

StatQuest with Josh Starmer

Attention for Neural Networks, Clearly Explained!!!

3 years ago - 15:51

Reinforcement Learning with Neural Networks: Essential Concepts

StatQuest with Josh Starmer

Reinforcement Learning with Neural Networks: Essential Concepts

1 year ago - 24:00

The Main Ideas of Fitting a Line to Data (The Main Ideas of Least Squares and Linear Regression.)

StatQuest with Josh Starmer

The Main Ideas of Fitting a Line to Data (The Main Ideas of Least Squares and Linear Regression.)

9 years ago - 9:22

The matrix math behind transformer neural networks, one step at a time!!!

StatQuest with Josh Starmer

The matrix math behind transformer neural networks, one step at a time!!!

2 years ago - 23:43

XGBoost Part 2 (of 4): Classification

StatQuest with Josh Starmer

XGBoost Part 2 (of 4): Classification

6 years ago - 25:18

Covariance, Clearly Explained!!!

StatQuest with Josh Starmer

Covariance, Clearly Explained!!!

7 years ago - 22:23

Quantile Normalization, Clearly Explained!!!

StatQuest with Josh Starmer

Quantile Normalization, Clearly Explained!!!

8 years ago - 4:52

StatQuest: Career Advice from Tech Industry Leaders

StatQuest with Josh Starmer

StatQuest: Career Advice from Tech Industry Leaders

10 months ago - 5:59

Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!!

StatQuest with Josh Starmer

Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!!

3 years ago - 16:50

Live 2020-02-03!!! Statistical Models, Regularization, Best ML Algorithm.

StatQuest with Josh Starmer

Live 2020-02-03!!! Statistical Models, Regularization, Best ML Algorithm.

Streamed 6 years ago - 30:35

R-squared, Clearly Explained!!!

StatQuest with Josh Starmer

R-squared, Clearly Explained!!!

3 years ago - 11:01

Linear Regression, Clearly Explained!!!

StatQuest with Josh Starmer

Linear Regression, Clearly Explained!!!

9 years ago - 27:27

Mutual Information, Clearly Explained!!!

StatQuest with Josh Starmer

Mutual Information, Clearly Explained!!!

3 years ago - 16:14

Standard Deviation vs Standard Error, Clearly Explained!!!

StatQuest with Josh Starmer

Standard Deviation vs Standard Error, Clearly Explained!!!

9 years ago - 2:52

Using Linear Models for t-tests and ANOVA, Clearly Explained!!!

StatQuest with Josh Starmer

Using Linear Models for t-tests and ANOVA, Clearly Explained!!!

8 years ago - 11:38

Gradient Boost Part 3 (of 4): Classification

StatQuest with Josh Starmer

Gradient Boost Part 3 (of 4): Classification

7 years ago - 17:03

Logs (logarithms), Clearly Explained!!!

StatQuest with Josh Starmer

Logs (logarithms), Clearly Explained!!!

9 years ago - 15:37

Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously.

StatQuest with Josh Starmer

Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously.

5 years ago - 18:32

Optimization with Linear Programming (and the Simplex Algorithm), Main Ideas!!!

StatQuest with Josh Starmer

Optimization with Linear Programming (and the Simplex Algorithm), Main Ideas!!!

4 weeks ago - 24:02

Why Dividing By N Underestimates the Variance

StatQuest with Josh Starmer

Why Dividing By N Underestimates the Variance

7 years ago - 17:15

Neural Networks Part 5: ArgMax and SoftMax

StatQuest with Josh Starmer

Neural Networks Part 5: ArgMax and SoftMax

5 years ago - 14:03

Conditional Probabilities, Clearly Explained!!!

StatQuest with Josh Starmer

Conditional Probabilities, Clearly Explained!!!

5 years ago - 10:56

False Discovery Rates, FDR, clearly explained

StatQuest with Josh Starmer

False Discovery Rates, FDR, clearly explained

1 month ago - 18:27