AI 101
1.0.0
Lecture notes, readings, code samples and resources for teaching yourself how PyTorch and Tensorflow.
This class was formerly taught as a bootcamp but is now a self-paced online resource.
See Brad's GitHub Stars for a curated collection of helpful resources.
| Session | Topic | TODO |
|---|---|---|
| Preparation | N/A | See preparation.md |
| ? Week 1 | Roles, Machine Learning Basics, Tech Stack | How Deep Learning Works and Intro to Free Software |
| ? Week 1 | ? "Foundations" Live Demos | SuperDataScience Code Interpreter Guide |
| ? Week 2 | Final Project Ideas | Pick a project! |
| ? Week 2 | The Universal ML Workflow | The Universal ML Workflow and The Regression Theory of Everything |
| ? Week 3 | Pair Programming, Project Q&A | work on your project |
| ? Week 3 | Data Engineering, ETL Basics and Data Wrangling Techniques | work on your project |
| ? Week 4 | OpenRouter Sommelier App in AWS, Azure and GCP Cloud Setup Demo | Setup AWS Free Tier |
| ? Week 5 | ? Metrics and Loss Functions, Model Architecture and Hyperparameters | 60 Minute Pytorch Blitz |
| ? Week 7 | ? After The Bootcamp... | go forth and win! |
| ? Weeks 7-8 | ? Project Presentations | brag about yourself online |
Participants will dedicate substantial time to final projects aligned with their career aspirations. For an array of past presentations and source code, visit Brad's Youtube Channel.
| Step | Details |
|---|---|
| Generate synthetic text data using Scikit-LLM. Explore datasets on Kaggle or Hugging Face. | |
| Beginner: Follow TensorFlow quickstart for basic image/text classifiers. Recommended: Dive into 60 Minute PyTorch Blitz, then explore PyTorch Text Classification or PyTorch Image Classification. More Advanced: Fine-tune pretrained models with Hugging Face for text or ? image classification. Apple Nerds Only Use MLX. | |
| Challenge and Experiment (Optional) | Advanced: Explore cross-platform frameworks like Keras Core. ? Very Advanced: Attempt to Replicate a Winning Model from Kaggle. |
