Schedule

Below are the lectures from the 2017-2018 school year.

Date Description Course Materials
September 13, 2017 Machine Learning Club: Overview PDF

The Basics
September 20, 2017 Introduction to Machine Learning PDF
September 20, 2017 Decision Trees
Decision Trees: Part 2
PDF
PDF Part 2
Competition
Sample IO Code
Quiz
September 27, 2017 Random Forests PDF
Competition
Sample IO Code
Shell Code
October 4th, 2017 Support Vector Machines PDF
Competition
Scikit Tutorial
March 14th, 2018 Naive Bayes PDF
March 14th, 2018 k-Means Clustering PDF

Neural Networks
October 18th, 2017 Neural Networks: Intro & Overview PDF
Problem Set
Pset info
October 25th, 2017 Neural Networks: Forward & Backpropagation PDF
November 1st, 2017 Neural Networks: Mathematics of Backpropagation PDF
Competition
Shell Code
November 15th, 2017 Neural Networks: Hyperparameters and Network Tuning PDF
Competition
November 17th, 2017 Neural Networks: A High-Level Overview (Workshop) PDF
November 17th, 2017 Introduction to Keras PDF
Competition 1
Competition 2
Sample IO Code

Convolutional Neural Networks and Image Processing
November 17th, 2017 Convolutional Neural Networks (Workshop) PDF
Competition 1
Competition 2
November 29th, 2017 Convolutional Neural Networks PDF
Competition
Sample Code
Sample Solution
December 6th, 2017 Transfer Learning, Residual Connections, and Inception Modules PDF
Quiz
Solutions
Competition
December 13th, 2017
January 3rd, 2018
Object Detection PDF
Competition
January 10th, 2018 Image Preprocessing PDF
January 10th, 2018 Fully Convolutional Networks PDF
January 10th, 2018 Instance Segmentation PDF
March 7th, 2018 Capsule Networks PDF

Recurrent Neural Networks and Language Processing
January 24th, 2018 RNNs, LSTMs, and GRUs PDF
Competition
Data
January 31st, 2018 RNN Competition Competition Instructions
February 28th, 2018 Word2Vec PDF

Generative Models
February 14th, 2018 Generative Adversarial Networks PDF
Competition
February 21st, 2018 Advanced GANs: Wasserstein GAN & More PDF
Competition
March 2018 Autoencoders PDF
Competition
Data

Reinforcement Learning
April 4th, 2018 Introduction to Reinforcement Learning PDF

Guest Lectures
April 11th, 2018 RNN Advancements PDF
April 25th, 2018 Genetic Algorithms PDF
May 1st, 2018 Hidden Markov Models PDF
May 8th, 2018 Reinforcement Learning: Part II PDF
May 8th, 2018 Actor-Critic Reinforcement Learning PDF
May 16th, 2018 Confidence Estimates for Neural Networks PDF
May 16th, 2018 Encoder-Decoder Models in NMT PDF
May 23rd, 2018 Introduction to Gradient Boosting PDF