AI Ground Up

Search tutorials… ⌘K

GitHub Start →

ML Basics

What is Machine Learning? ML Foundations Linear Regression Logistic Regression Decision Trees Random Forests Gradient Boosting XGBoost Support Vector Machines K-Nearest Neighbors Naive Bayes PCA K-Means Clustering What's Next?

Deep Learning

What are Neural Networks? MLP What is Deep Learning? CNN RNN LSTM

Coming Soon

NLP Transformers LLMs & GPT

LLMs & GPT

Coming soon.

This track will cover large language models: how GPT works, how they are trained, fine-tuning, prompting, and what happens under the hood.

On this page