Module - Machine Learning and AI Concepts in Python
Overview
In this coding camp, you will -
- get an overview of how the AI magic works
- learn about key technical terms related to machine learning and artificial intelligence
- solve projects using the libraries Scikit-Learn and Pytorch.
Skills You Acquire
This hands on module introduces you to the fields of machine learning (ML) and artificial intelligence (AI) through a series of problem-solving exercises. Additionally, you get familiarity with two popular Python libraries - Scikit-Learn and Pytorch.
Prerequisite
Python skills with knowledge of numpy + pandas.
Class Style
The classes will be conducted online through zoom and interactive chat sessions.
Sessions
July 28-31, Aug 1,4-8, 10AM-12Noon PST
Class Description
| Sessions | Topics |
|---|---|
| Day 1 | Introduction to ML and AI fields and the applications. Also, you will get basic familiarity with the math of this field without going into a lot of detail. |
| Day 2-4 | Scikit-Learn - regression, classification and clustering through examples |
| Day 5 | Problem solving in machine learning |
| Day 6 | Artificial intelligence - foundational models and examples |
| Day 7-10 | An AI-related project using the Pytorch library. |
Testimonials
You can read the testimonials for our summer classes here.
Register
These registrations do not require any payment, and you register to only reserve your priority in the queue. We are not adding the times for the modules at this time. Please feel free to give your suggestions in the comment section. The online modules are for two weeks (2 hour/day) and the in person/lab modules last for one week.
