Resources about Artificial Intelligence and Machine Learning
Interesting people
Interesting software
- https://getleon.ai/#get-started (open source personal assistant)
Interesting links
- https://www.asimovinstitute.org/neural-network-zoo/
- Nooscope: The Nooscope is a cartography of the limits of artificial intelligence, intended as a provocation to both computer science and the humanities.
- Introduction to Linear Algebra for Applied Machine Learning with Python
- A Revolução da Convergência e a IA: Ações em Covid-19, Diabetes, Neurociência e Forense Digital
- Brainlike Computers, Learning From Experience
- Self-Supervised Learning in 2021
- Canal Futura - Expresso Futuro: China
- https://datasciencejuliahackers.com/
- https://www.eleuther.ai/
Interesting topics
- https://en.wikipedia.org/wiki/Automated_machine_learning
- https://en.wikipedia.org/wiki/Transfer_learning
- https://en.wikipedia.org/wiki/Spiking_neural_network
Things to remember
- Split the train set into train and validation, so you can “test” without using the test set.
Cool projects
Libraries
Book
- ai-superpowers
- Deeplearning book
- Automated Machine Learning in Action
- Trust in Machine Learning
- Interpretable Machine Learning - Christoph Molnar
- The Hundred-page Machine Learning book
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Fun
Courses
- Practical Deep Learning for Coders
- Data Science Specialization - Coursera - TBD
- Berkeley CS188: Artificial Intelligence