155 тысяч подписчиков
55 видео
A friendly introduction to Convolutional Neural Networks and Image Recognition
Naive Bayes classifier: A friendly approach
How does Netflix recommend movies? Matrix Factorization
Serrano.Academy - The art of understanding
A Friendly Introduction to Generative Adversarial Networks (GANs)
State Space Models (SSMs) and Mamba
What are Transformer Models and how do they work?
A friendly introduction to Deep Learning and Neural Networks
The Attention Mechanism in Large Language Models
Linear Regression: A friendly introduction
Stable Diffusion - How to build amazing images with AI
Proximal Policy Optimization (PPO) - How to train Large Language Models
Gaussian Mixture Models
Clustering: K-means and Hierarchical
Direct Preference Optimization (DPO) - How to fine-tune LLMs directly without reinforcement learning
Thompson sampling, one armed bandits, and the Beta distribution
Eigenvectors and Generalized Eigenspaces
How do you minimize a function when you can't take derivatives? CMA-ES and PSO
Machine Learning: Testing and Error Metrics
How do Transformer Models keep track of the order of words? Positional Encoding
Euler's number, derivatives, and the bank at the end of the universe
The math behind Attention: Keys, Queries, and Values matrices
KL Divergence - How to tell how different two distributions are
Reinforcement Learning with Human Feedback (RLHF) - How to train and fine-tune Transformer Models
What is Quantum Machine Learning?
The Gini Impurity Index explained in 8 minutes!
A friendly introduction to Recurrent Neural Networks
Decision trees - A friendly introduction
Why do we divide by n-1 to estimate the variance? A visual tour through Bessel correction
Josh Starmer and Luis Serrano livestream 2 - Double BAM!
A friendly introduction to deep reinforcement learning, Q-networks and policy gradients
The Beta distribution in 12 minutes!
The Binomial and Poisson Distributions
How Large Language Models are Shaping the Future
Support Vector Machines (SVMs): A friendly introduction
A Friendly Introduction to Machine Learning
ROC (Receiver Operating Characteristic) Curve in 10 minutes!
Training Latent Dirichlet Allocation: Gibbs Sampling (Part 2 of 2)
Thank you for 100K subscribers! I’m planning tons of new content coming soon, so excited!
The covariance matrix
Principal Component Analysis (PCA)
Logistic Regression and the Perceptron Algorithm: A friendly introduction
The Attention Mechanism for Large Language Models
Latent Dirichlet Allocation (Part 1 of 2)
Singular Value Decomposition (SVD) and Image Compression
Denoising and Variational Autoencoders
