AI and Machine Learning

Topics Covered During this Class:

  • Python Basics: Variables, Logic, Loops, Functions, Classes

  • Linear and Logistic Regression: Mathematics and Implementation

  • Perceptron/Naive Bayes Algorithm: Simple Neural Network Fundamentals and Implementation

  • Recurrent Neural Networks/LSTMs: Time-Series based Networks

  • Convolutional Neural Networks: Image-Based Networks

  • Generative Adversarial Networks: Generating Algorithms

We will be covering both the theory behind each of these networks and their implementation in Python through Google Colab. We will also be creating projects such as stock market prediction networks, chatbots, object detection software, and much more.

Prerequisites and Suggested Age Group

Anyone interested in Computer Science or AI is encouraged to join this class. Coding knowledge is encouraged but not required.

Suggested Age Group: 13+

Class Scheduling and Platform:

Start Date: April 22nd

Enrollment Deadline: April 17th

Class Duration: 10 weeks

Fridays 6:00-7:30 PM PT

Meeting Platform: Zoom

Info pertaining to the teacher(s) contact information, online meeting links, and the syllabus timeline will be sent via email to enrolled students' regularly checked emails 1-2 weeks before the first class.