1. Captains: Nathaniel Choe, Rohan Suri, Mihir Patel, Nikhil Sardana
Machine Learning Club
Captains:
Nathaniel Choe, Rohan Suri, Mihir Patel, Nikhil Sardana

2. What is Machine Learning?
Getting computers to learn without being explicitly programmed
Algorithms learn from and make predictions on data
Examples:
Optical Character recognition (reading handwriting)
Computer Vision
Natural Language Processing

3. Topics
Decision Trees
Naive Bayes
Regression

4. Topics Python Neural Network Basics Neural Network Advanced
Backpropagation
Matrix Math
Logistic Functions
Neural Network Advanced
PyBrain
Training Methods (batch, stoic descent)
Different Logistic Functions (tanh, etc.)
Database Preprocessing

5. More Topics (If we have time)
Advanced Neural Networks
Convolutional/Pooling/Normalization layers
Theano / Tensorflow
Softmax layers
Relu function
SVMs
Reinforcement Learning
Robotics Applications

6. Format of the Club NOT 100% Lecture Based NOT 100% Competition Based
Too Boring
People need practice to understand
NOT 100% Competition Based
Steep learning curve
Complex topics
Learn the theory

7. Format of the Club Most Weeks (75% of meetings)
25 minute lecture on the topic
Weekly Challenge: An application lab of the lecture material
Participants start the challenge during the meeting
Challenge ~1hr long
Submit your code by the end of the week
Winner (most accurate / fastest) gets prize

8. Format of the Club Once a Month (25% of meetings)
40 minute challenge, submit by the end of the block
Practical applications of material covered
Winner gets prize

9. Why Join? If you like computer science
If you think the CS classes move too slow
If you like learning new things
If you want to apply your knowledge every week
Real world data from kaggle.com

10. Why Join?
By the end of the year, you will have completed dozens of real-world problems that you can write about on your resume.
No other high school in the country has a machine learning club.
You can use topics we cover in your own research for things like science fair.
Much more interactive and broad than online courses.

11. Conclusion
Fill out the form:
Questions?