Instructors

Metehan Seyran

Computer Engineering #4 @I.T.U

LinkedIn

Prerequisities

1. Basic knowledge about Python programming language.
2. Basic knowledge about Calculus and Linear Algebra.

Goal

• Make attendees familiar to basic Machine Learning Topics such as Classification and Regression
• Make attendees familiar with concepts of Neural Networks
• Introduce basics of computational libraries such as PyTorch and NumPy

Syllabus

#Date	#Topic	#Description
09.11.2020	Basic Machine Learning Pipeline	Basic pipeline for a general Machine Learning project
16.11.2020	Optimization algorithms for ML	Widely used optimization algorithms and their implementations
23.11.2020	Linear Regression	Introduction of Linear Regression and implementation using PyTorch
30.11.2020	NonLinear Regression and Classification	Introduction of Classification algorithms and implementation using PyTorch
7.12.2020	Neural Networks 1	Basic introduction of Neural Networks and implementations 1
14.12.2020	Neural Networks 2	Neural Network implementation 2

Lessons will be around 1:30 - 2 hours (May Change)

(Lectures will be held online using Zoom)

Important Links

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Suggested Readings

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Project

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