Machine Learning of Sets
In machine learning, we typically work with input pairs (x, y), and we try to figure out how x and y depend on each other.To do so, we gather many such pairs…
Read more »Machine Learning from Scratch
ML from scratch. Contribute to DorsaRoh/Machine-Learning development by creating an account on GitHub.
Read more »APLearn: Machine Learning Library
APL machine learning library. Contribute to BobMcDear/aplearn development by creating an account on GitHub.
Read more »Build your own X – Machine Learning
Build your own X – Master machine learning by building everything from scratch. It aims to cover everything from linear regression to deep learning to large language models (LLMs). – amitshekhariit…
Read more »Fairness (Machine Learning)
Fairness in machine learning (ML) refers to the various attempts to correct algorithmic bias in automated decision processes based on ML models. Decisions made by such models after a learning process may be considered unfair if they were based on variabl…
Read more »Coinbase Machine Learning and Blockchain Research Summit [video]
Connect with leading experts, researchers, and contributors from the blockchain and AI industries at the ML & Blockchain Research Summit. Discover valuable insights…
Read more »Fighting Unwanted Notifications with Machine Learning in Chrome
Notifications in Chrome are a useful feature to keep up with updates from your favorite sites. However, we know that some notifications may…
Read more »Fighting Unwanted Notifications with Machine Learning in Chrome
Notifications in Chrome are a useful feature to keep up with updates from your favorite sites. However, we know that some notifications may…
Read more »OCaml’s Wings for Machine Learning
OCaml’s Wings for Machine Learning. Contribute to raven-ml/raven development by creating an account on GitHub.
Read more »Matrix Calculus for Machine Learning and Beyond
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond – mitmath/matrixcalc…
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