Machine Intelligence is the last invention that humanity will ever need to make.

Here is the list of everything I have learned and from what sources I have learned

Andrew NG Machine Learning course on coursera (Free)

1. What is Machine Learning?
2. Linear Regression with one variable
3. Gradient Descent
4. Linear Algebra
5. Multivariate Linear Regression
6. Normal Equation
7. Classification and Representation
8. Logistic Regression
9. Overfitting
10. Neural Network
11. Cost Function and Backpropagation

Daniel Bourke course - Complete Machine Learning and Data Science: Zero to Mastery (Paid)

1. Introduction
2. Machine Learning 101
3. Machine Learning and Data Science Framework
4. Python - Part 1

Book - Hands on Machine Learning with Scikit-Learn, Keras & Tensorflow

1. The Machine Learning Landscape
2. End-to-End Machine Learning Project

Book - Reinforcement Learning (2nd Edition) by Richard S. Sutton

1. The Machine Learning Landscape

Book - Designing Machine Learning Systems (1st Edition) by Chip Huyen

1. Overview of Machine Learning Systems
2. Introduction to Machine Learning Systems Design
3. Data Engineering Fundamentals

Coursera - Machine Learning Engineering for Production (MLOps) Specialization

1. Overview of the ML Lifecycle and Deployment