TJ Machine Learning Club
Making AI more accessible
Join Us TodaySchedule
| Date | Description | Course Materials |
|---|---|---|
| September 18, 2019 | Machine Learning Club Overview | |
| September 18, 2019 | Introduction to Kaggle | |
| September 18, 2019 | Introduction to Google Colab | |
| September 25, 2019 | Decision Trees I |
PDF Practice Problems Solutions Problem Set |
| October 2, 2019 | Decision Trees II |
|
| October 9, 2019 | Random Forests | |
| October 23, 2019 | Support Vector Machines |
PDF |
| October 30, 2019 | Real World Machine Learning | |
| November 13, 2019 | Naive Bayes and KNN | |
| November 20, 2019 | Calculus for Machine Learning | |
| November 25, 2019 | Neural Networks I: the Perceptron | |
| December 4, 2019 | Neural Networks II: the Neuron and Forward Propagation | |
| December 11, 2019 | Neural Networks III: Backpropagation |
PDF Problem Set |
| December 18, 2019 | Neural Networks IV: Hyperparameter Optimization |
PDF |
| February 12, 2020 | Convolutional Neural Networks I: The Convolution |
PDF |
| February 19, 2020 | Convolutional Neural Networks II: The Network |
PDF |
| February 26, 2020 | Recurrent Neural Networks |
PDF |
| March 4, 2020 | Transfer Learning, GANS, & Autoencoders |
PDF |
| March 11, 2020 | Meta-Learning |
PDF |
| March 18, 2020 | Intro to Reinforcement Learning |
PDF |
Guest Lectures |
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| December 11, 2019 | EfficientNet |
PDF |
| April 15, 2020 | Ensemble Learning |
PDF |
| April 15, 2020 | Generative Adversarial Networks |
PDF |
| April 15, 2020 | Reinforcement Learning Markov Models |
PDF |
| April 15, 2020 | Wasserstein GANS |
PDF |
| April 22, 2020 | Attention |
PDF |
| April 22, 2020 | Hidden Markov Models |
PDF |
| April 22, 2020 | Reinforcement Learning |
PDF |
| April 22, 2020 | Wasserstein GANS |
PDF |
| April 29, 2020 | YOLO |
PDF |
| April 29, 2020 | Genetic Algorithms |
PDF |
| April 29, 2020 | Sparse Coding |
PDF |
| May 20, 2020 | Hopfield Networks |
PDF |
| May 20, 2020 | Autoencoders |
PDF |