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Computer Science • Series

Introduction to Machine Learning

Piyush A

Series Details

Sessions

Public Discussion

This series ended on September 8, 2024. All 1:1 and group chats related to this series are disabled 7 days after the last session.

Series Details

About

[More classes will be added to the series soon!]
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This series will provide a practical introduction to machine learning. Topics include regression (linear & polynomial), regularization, classification, clustering, retrieval, recommender systems, and deep learning, with a focus on an intuitive understanding grounded in real-world applications. Intelligent applications are designed and used to make predictions on large, complex datasets. 
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Prerequisites include a basic understanding of Python syntax and some statistical knowledge. Even if you don't meet these requirements, I will try my best to make it easier to understand.
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I will provide datasets and practice problems via GitHub, and I expect everyone to attend Office Hours (optional) if they have any questions. Machine learning is a hard course, but focusing on understanding the concepts will make it easier.

✋ ATTENDANCE POLICY

Attendance is not tracked, but do note that the lectures are the best time to understand concepts and ask me questions so it is sort a requirement to come.

Dates

July 4 - September 8

Learners

25 / 30

Total Sessions

About the Tutor

Hey 👋🏽, I'm Piyush Acharya! As a rising junior, some of my achievements include winning the U.S. Department of Energy National Science Bowl Finals in Washington D.C., two-time winner of the U.S. House of Representatives Congressional App Challenge, USACO Silver, and placing 2nd in the 2024 Science Olympiad Robot Tour event. I received a 5 on AP Chemistry, AP Environmental Science, AP World History, AP Computer Science A, and AP Computer Science Principles. In my spare time, you can find me exploring the latest in technology, running cross country, or flying my DJI Mavic 3. I look forward to helping you all achieve academic success!

View Piyush A's Profile

Upcoming Sessions

Past Sessions

Jul

Session 1

Artificial Intelligence

Thu Jul 4, 11:00 PM

Introduction / Regression

Jul

Session 2

Artificial Intelligence

Mon Jul 8, 10:00 PM

Regression

Jul

Session 3

Artificial Intelligence

Tue Jul 9, 10:00 PM

Assessing Performance; Bias + Variance Tradeoff

Session 4

Catchup

Tue Jul 9, 11:00 PM

Regression

Jul

Session 5

Artificial Intelligence

Wed Jul 10, 11:00 PM

Regression

Jul

Session 6

Artificial Intelligence

Fri Jul 12, 11:00 PM

Assessing Performance; Bias + Variance Tradeoff

Jul

Session 7

Catchup

Sat Jul 13, 12:00 AM

Regression

Session 8

Artificial Intelligence

Sat Jul 13, 11:00 PM

Regularization: Ridge

Jul

Session 9

Artificial Intelligence

Sun Jul 14, 11:00 PM

Regularization: Ridge & LASSO Programming

Jul

Session 10

Artificial Intelligence

Mon Jul 15, 11:00 PM

Regularization: Ridge

Jul

Session 11

Artificial Intelligence

Tue Jul 16, 11:00 PM

Regularization: Ridge

Jul

Session 12

Artificial Intelligence

Wed Jul 17, 11:00 PM

Regularization: Ridge

Jul

Session 13

Artificial Intelligence

Fri Jul 19, 11:00 PM

Regularization: Ridge

Jul

Session 14

Artificial Intelligence

Mon Jul 22, 11:00 PM

Regularization: Ridge

Jul

Session 15

Artificial Intelligence

Wed Jul 24, 11:00 PM

Regularization: Lasso

Jul

Session 16

Artificial Intelligence

Sat Jul 27, 1:30 AM

Regularization: Lasso

Session 17

Artificial Intelligence

Sat Jul 27, 11:15 PM

Regularization: Lasso

Jul

Session 18

Artificial Intelligence

Sun Jul 28, 11:00 PM

Section 0: Programming Assignment

Jul

Session 19

Catchup

Mon Jul 29, 11:00 PM

Catchup

Jul

Session 20

Artificial Intelligence

Tue Jul 30, 11:15 PM

Programming Assignment

Aug

Session 21

Artificial Intelligence

Fri Aug 2, 11:00 PM

Programming assignment

Aug

Session 22

Artificial Intelligence

Mon Aug 5, 12:00 AM

Introduction to Machine Learning with Python

Session 23

Artificial Intelligence

Mon Aug 5, 11:00 PM

Introduction to Machine Learning with Python

Aug

Session 24

Artificial Intelligence

Tue Aug 6, 11:00 PM

Introduction to Machine Learning with Python

Aug

Session 25

Artificial Intelligence

Fri Aug 9, 11:00 PM

Classification

Aug

Session 26

Catchup

Sun Aug 11, 11:00 PM

Catchup

Aug

Session 27

Artificial Intelligence

Mon Aug 12, 11:00 PM

Programming Assignment / Homework

Aug

Session 28

Artificial Intelligence

Thu Aug 15, 11:00 PM

Classification

Aug

Session 29

Artificial Intelligence

Fri Aug 16, 11:00 PM

Classification

Aug

Session 30

Artificial Intelligence

Mon Aug 19, 4:00 AM

Classification

Aug

Session 31

Artificial Intelligence

Wed Aug 21, 11:00 PM

Classification

Sep

Session 32

Artificial Intelligence

Wed Sep 4, 11:00 PM

Classification

Sep

Session 33

Artificial Intelligence

Sat Sep 7, 11:00 PM

Classification

Public Discussion

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