Day 1: Introduction

Today we will cover an introuduction to machine learning, a review of the basic mathematics for machine learning, and a crashcourse of the basic of Python Programming. Most of the modern Artificial Intelligence and Machine Learning tools are based on Python. Hence it is always a good idea to be proficient in Python before we delve into the theory of AI and ML.

Task Source Objective
Python Numbers Numbers Learn Python Numbers and Operations
Python Strings Strings Learn Python Strings and Strings Operations
Python Lists Lists Learn Python Lists and Lists Operations
Python Dictionaries Dictionaries Learn Python Dictionaries
Python Tuples and Sets Tuples Learn Python Tuples and Sets Manupilation
Python Conditional and Loops Conditionals Learn Python Conditional and Loops
Python Numpy Numpy Learn Python Numpy array Manupilation
Python OOP OOP Object Oriented Programming in Python
Lecture Lecture Lecture Day 1
OOP example OOP OOP

Resourse Link Description
Mathematics Background Linear Algebra, Calculus, and Probability
Python Programming Review of Python Programming
Object Oriented Programming Review of Object Oriented Programming
Numpy Review of Numpy Programming
Lecture 1 Lecture Recording: To be Uploaded after the session
Lecture 1 Slides < Introuduction

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Reading

Chapter 3, 4 and 9

The Reading for today's lab is chapter 3, 4 and 9 of the course handbook.

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Exercises

Chapter 3, 4 and 9

Examples and exercise of chapter 3, 4 and 9.