You can support StatQuest by purchasing awesome StatQuest books, study guides and Jupyter notebooks, t-shirts, hoodies, coffee mugs and more!!!
NEW!!! The StatQuest Illustrated Guide to Neural Networks and AI – 363 pages, all fully illustrated, that explain neural networks from the basic concepts all the way through the state of the art Transformers that power ChatGPT. The book also includes hands-on tutorials in PyTorch so you can turn the theory into practice!!!
The StatQuest Illustrated Guide to Neural Networks and AI covers the following topics…
- Fundamental Concepts in Neural Networks and AI!!!
- Optimizing Weights and Biases with Backpropagation!!!
- Networks with Multiple Inputs and Outputs!!!
- Simplifying Outputs with ArgMax and SoftMax!!!
- Speeding Up Training with Cross Entropy!!!
- Image Classification with Convolutional Neural Networks!!!
- Stock Prediction with Recurrent Neural Networks (RNNs)!!!
- Better Stock Prediction with Long Short-Term Memory (LSTM)!!!
- Converting Words to Numbers with Word Embedding!!!
- Language Translation with Seq2seq and Encoder-Decoder Models!!!
- Better Language Translation with Attention!!!
- Even Better Language Translation with Transformers!!!
- Generating Lots of Text with Decoder-Only Transformers!!!
- Classification and Clustering with Encoder-Only Transformers!!!
- And much more! Including Matrix Algebra for Neural Networks.
Physical copies can be purchased world-wide from amazon (check your local version if you live outside of the US). You can get a paperback version, or a hardback version. Specific links for International purchases are listed below:
- Canada: Paperback
- France: Paperback, Hardback
- Germany: Paperback, Hardback
- India: Paperback, Hardback
- Italy: Paperback, Hardback
- Netherlands: Paperback, Hardback
- Poland: Paperback, Hardback
- Spain: Paperback, Hardback
- Sweden: Paperback, Hardback
- United Kingdom: Paperback, Hardback
You can also buy the PDF anywhere in the world.
NOTE: Click here to see some example pages.
The StatQuest Illustrated Guide to Machine Learning – 305 pages, all fully illustrated, that explain machine learning from the basic concepts all the way through neural networks.
The StatQuest Illustrated Guide to Machine Learning covers the following topics…
- Fundamental concepts in Machine Learning and Statistics
- Cross Validation
- Linear Regression
- Logistic Regression
- Gradient Descent
- Naive Bayes
- Confusion Matrices
- Regularization
- Decision Trees
- Support Vector Machines
- Neural Networks
Physical copies can be purchased world-wide from amazon (check your local version if you live outside of the US) and lulu (if you can’t find it on amazon or just want to support a different retailer). Specific links for International purchases are listed below:
- Australia: Lulu
- Canada: Amazon
- France: Amazon
- Germany:
- India: Direct from Qurate, or Amazon.
- Italy: Amazon
- Korea (translated into Korean): Here and here.
- Mexico: English or Spanish
- Netherlands: Amazon
- Poland: Amazon
- Spain: English version on Amazon, Spanish version on Amazon
- Sweden: Amazon
- United Kingdom: Amazon
You can also buy the English PDF and Spanish PDF anywhere in the world.
NOTE: Click here to see some example pages.
The Spanish translation of my book is also available!!!!!
StatQuest Study Guides
- AdaBoost Study Guide
- Classification Trees Study Guide
- Classic Multi-Dimensional Scaling (MDS) Study Guide
- Gradient Descent Study Guide
- Linear Discriminant Analysis (LDA) Study Guide
- Linear Regression Study Guide
- Naive Bayes Study Guides (both Multinomial and Gaussian)
- Principal Components Analysis (PCA) Study Guide
- t-SNE and UMAP Study Guide
StatQuest Jupyter Notebooks and Code
- Classification Trees in Python from Start to Finish
- Support Vector Machines in Python
- XGBoost in Python
StatQuest T-shirts, hoodies, coffee mugs, etc!!!
T-shirts, hoodies, coffee mugs and a ton of other awesome StatQuest stuff!!!
Original Songs
When I’m not singing silly songs about statistics, I write and record normal songs featuring a huge variety of instruments all played by me. I also am part of the trio Jeezle Pete.