The Structure of Data and Machine Learning
Terry Tao entitled his 2006 Fields Medal Lecture “The Dichotomy between structure and randomness” and state the Structure Theorem: Every ob…
Read more »Terry Tao entitled his 2006 Fields Medal Lecture “The Dichotomy between structure and randomness” and state the Structure Theorem: Every ob…
Read more »A project-based course on the foundations of MLOps to responsibly develop, deploy and maintain ML. – GitHub – GokuMohandas/mlops-course: A project-based course on the foundations of MLOps to respon…
Read more »Machine Learning and Causal Inference taught by Brigham Frandsen – GitHub – Mixtape-Sessions/Machine-Learning: Machine Learning and Causal Inference taught by Brigham Frandsen…
Read more »These books had a great impact in my career as a Data Scientist when I was a beginner in Machine Learning. They could help you too.
Read more »I present my recollections of Richard Feynman’s mid-1980s interest in artificial intelligence and neural networks, set in the technical context of the physics-related approaches to neural networks of that time. I attempt to evaluate his ideas in the light…
Read more »Amplemarket’s mission is to help companies grow all around the world. At the core of this mission is making sales team’s lives easier and Machine Learning is a big part of that. Our Machine Learning team is still small, but we’re able to achieve a great …
Read more »Algorithms and utils for Machine Learning in JavaScript. – GitHub – laoqiren/mlhelper: Algorithms and utils for Machine Learning in JavaScript.
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Read more »Science! Testing various image matching algorithms' performance on the Pinecone vector DB – GitHub – alt-text-org/image-algo-testing: Science! Testing various image matching algorithms' per…
Read more »Etsy has long had comprehensive observability over its machine learning (ML) deployments from a software engineering perspective….
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