Reinforcement Learning with Human Feedback - How to train and fine-tune Transformer Models

Proximal Policy Optimization (PPO) - How to train Large Language Models

Stable Diffusion - How to build amazing images with AI

What are Transformer Models and how do they work?

The math behind Attention: Keys, Queries, and Values matrices

The Attention Mechanism in Large Language Models

The Binomial and Poisson Distributions

Euler's number, derivatives, and the bank at the end of the universe

Decision trees - A friendly introduction

How do you minimize a function when you can't take derivatives? CMA-ES and PSO

What is Quantum Machine Learning?

Denoising and Variational Autoencoders

Eigenvectors and Generalized Eigenspaces

Thompson sampling, one armed bandits, and the Beta distribution

The Beta distribution in 12 minutes!

A friendly introduction to deep reinforcement learning, Q-networks and policy gradients

The Gini Impurity Index explained in 8 minutes!

The covariance matrix

Gaussian Mixture Models

Singular Value Decomposition (SVD) and Image Compression

ROC (Receiver Operating Characteristic) Curve in 10 minutes!

Restricted Boltzmann Machines (RBM) - A friendly introduction

A Friendly Introduction to Generative Adversarial Networks (GANs)

You are much better at math than you think

Training Latent Dirichlet Allocation: Gibbs Sampling (Part 2 of 2)

Latent Dirichlet Allocation (Part 1 of 2)

Book by Luis Serrano - "Grokking Machine Learning" (40% off promo code)

Serrano.Academy - The art of understanding

Naive Bayes classifier: A friendly approach

Math and OCD - My story with the Thue-Morse sequence