Machine Learning Club

ML Club Officers

September 2018

Machine Learning Club is an organization where members can learn the theory and applications of machine learning, test their skills in intra-club contests and online competitions, and conduct machine learning research. We meet every Wednesday A Block in Room 67/68 and the Galileo Commons.

Officers

Contact the club officers through Facebook Messenger (preferred) or at tjmachinelearning@gmail.com.

Lectures

Lectures will begin with standard machine learning topics before delving into deep learning. We cover not only classical machine learning and deep learning algorithms, but also new and exciting advances. As research comes out throughout the year, we will periodically discuss any interesting developments.

The following lecture schedule is the current plan for the school year. The lecture schedule is subject to change, and the most up to date version can always be found at tjmachinelearning.com/schedule.

Date Lecture
9/12/18 Introduction to Machine Learning
9/26/18 Decision Trees
10/3/18 Random Forests
10/17/18 SVMs
10/24/18 Neural Networks Intro
10/31/18 Neural Networks: Forward and Backpropagation
11/7/18 Neural Networks: Optimizations, Intro to Keras
11/14/18 Intro to TF, Pytorch, and Google Colab
11/28/18 CNNs: Intro
12/5/18 CNNs: Continutation and Demos
12/12/18 TBD
12/19/18 Naive Bayes and K-Nearest Neighbors
12/26/18 Winter Break
1/2/19 Winter Break
1/9/19 K-Means Clustering
1/16/19 Intro to RNNs + LSTM/GRU
1/23/19 RNNs: Continuation
1/30/19 Intro to NLP
2/6/19 Intro to GANs
2/13/19 GANs: Part 2
2/20/19 Even more GANs
2/27/19 Intro to Reinforcement Learning and Gym
3/6/19 TBD
3/20/19 CapsuleNet
3/27 - 4/24 Guest Lectures, Competitions, Research, etc
5/1/19 Spring Break
5/8 - 5/29 TBD
6/5/19 Elections
6/12/19 Election Results

Quizzes and Exams

Quizzes and exams will be given occasionally to ensure students learn and retain material. These, along with the In-House contests (see Section 5.1) will be used to rank students.

Competitions

In-House Contests

Machine Learning Club will be holding weekly in-house contests through Kaggle Classroom. Details on the specifics of Kaggle Classroom will be given alongisde the first contest. Unless otherwise specified, contests will begin on Wednesday evening after Machine Learning Club and run until 11:59:00 P.M. on the following Tuesday. Students will be ranked based on their achievement in these contests.

Outside Competitions

As the year progresses, Machine Learning Club members can participate in Kaggle competitions (kaggle.com/competitions). Substantial prize money is awarded to winners of contests, however, students will be competiting against anyone in the entire world, so the probability of winning is extremely low. Nevertheless, Kaggle competitions are a valuable learning experience.

Research

Anyone who is having trouble with an ML research problem, wants input on the feasibility and/or scope of potential projects, or is looking for general ML help can ask the officers and receive help during club time. The current officers have experience at the highest level of high school research. After the lecture schedule ends in April, students will have more time to work on research projects, applying the knowledge from the lectures to real-world data.

The Website

Most information is conveyed through the official Machine Learning Club website, https://tjmachinelearning.com/. Here, you can find the lectures in pdf and web form, along with any presentations, notes, rankings, or additional resources.

First Day Form

Go to https://tjmachinelearning.com/ and click “Join Us Today” on your phone or computer. Fill out the form if you haven't already.

← Back to lectures