Awesome Guide to Get Started in Machine Learning & Artificial Intelligence

3 min readFeb 1, 2024

“World is converging towards ML & AI ”

How To Get Started:

Some Pre-Requisites:

Intro to Neural Network by 3Blue1Brown <<Awesome>>
4 short video series that help to visualize Neural Nets.
Time needed: 2–3 days

Python Programming, A Refresher <<Essential>>
Time needed: 1–2 days.

Get Started with Deep Learning:

http://introtodeeplearning.com <<You’ll love it>>
An MIT course available on YouTube provides a comprehensive introduction to key concepts in deep learning and machine learning, supplemented with practical lab sessions.
Time needed: 1–3 months

Building ML Core Competencies:

Python Programming for Machine Learning <<Good to know>>
You can prefer to learn as you go.
Time needed: 1–2 weeks

Stanford CS229 Machine Learning <<Gold, In-Depth, Maths Heavy>>
A very advanced course that needs too much determination and will to complete all lectures. {FYI: I only completed 5 lectures, need to resume}
Time needed: 2–5 months

“ML & AI is converging towards Transformers & Beyond”

Entering into Transformers & LLMs World

Attention Is All You Need <<Must>>
Research Paper that brought ML revolution
Time needed: 1- 3 days

The Illustrated Transformer by Jay Alammar <<In-depth>>
Read 10 times…
Time needed: Spend at least 1 week on it

Transformers and LLM by Serrano Academy <<Superb Explanation>>
Explains and visualizes how Attention works in a Transformer
Time needed: 1 week

LLM Visualization <<Next Level Visualization>>
Helps to clearly understand each level of LLM and its inner workings
Time needed: 1–2 days

Code your own GPT from Scratch by Andrej Karpathy <<Code Heavy>>
Step-by-step code explanation and guide to build your own GPT
Time needed: 1–3 weeks