- Beginner Courses
- AI For Everyone - 6 hours
- Generative AI For Everyone - 5 hours
- Elements of AI - 6 hours
- Kaggle Microcourses
- Hugging Face Courses
- Glosseries of AI Terms
- Intermediate Courses
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
- Microsoft's ML For Beginners & Data Science for Beginners, AI for Beginners & Generative AI for Beginners
- A series of self-guided learnings offered by Microsoft that provide a solid intro to ML/DS/Gen AI.
- Andrew Ng Machine Learning Specialization - 2 months at 10 hours/week
- Deep Learning Specialization - 3 months at 10 hours/week
- Practical Deep Learning - 14 hours
- Dive into Deep Learning
- MIT Deep Learning Book
- Stanford's AI Courses
- Stanford provides the syllabi, homeworks, slidedecks, and often lecture videos for most of their courses online. These range from AI for Social Good to Advanced Robotic Manipulation.
- https://web.eecs.umich.edu/~justincj/teaching/eecs498/WI2022/
- i.am.ai AI Expert Roadmap
- A path for learning AI that covers the major groupings in learning AI. A good way to get a good overview of many of the skills needed in ML, though many of the resources are more for getting your feet wet than learning in depth.
- Applied ML
- A curated list of articles, papers, and blogs on how to apply ML in production
- CS Courses with Videos
- A repository with a list of CS courses from various universities with video lectures one can watch
- Reinforcement Learning
- RL Book
- Generally considered the first RL book everyone should read. The authors are two of the luminaries in the field who teach just as well.
- Specialization
- This is a Coursera specialization based on their book that provides a guided learning experience
- RL Book
- Generative AI (Large Langage Models & More)
- Online Masters
- Other Data Science/AI/ML Respositories
- 📝 Blogs
- HuggingFace
- Stratechery
- Jay Alammar
- Makes a series of fantastic illustrations to explain ML concepts, particularly known for the The Illustrated Transformer. Start at the bottom and work up for a gradual progression.
- 📬 Newsletters
- The Neuron
- NU Undergrads run it
- Import AI
- State of AI Report
- The Neuron
- 🎧 Podcasts
- 📚 Books
- 📹 YouTubers
- 🗣️ Top Voices
- Chicago Engineering and Tech Communities and Organizations
- This Dot Tech Communites
- KDnuggets list of Events on Data Science, Machine Learning, AI & Analytics
- Awesome Discord Communities - ML/DS
- Discord Community List
- Multireddit of many reddit Data Science Communities
- Hacker News
- AI Courses at Kellogg and Northwestern
- O'Reilly Learning - We get free access, just sign up with your Northwestern email
- KDA Data Analytics Resources
- KDA Coding Resources
- Dataquest
- Northwestern IT Consultations
- Northwestern IT Workshops
- LinkedIn Learning
- Northwestern Research Tools (Mathematica, SAS, Qualtrics, MATLAB, SPSS, and others)
- AI @ Northwestern
- NUworkspace