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.

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…

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 …

Algorithms and utils for Machine Learning in JavaScript. – GitHub – laoqiren/mlhelper: Algorithms and utils for Machine Learning in JavaScript.

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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…

Etsy has long had comprehensive observability over its machine learning (ML) deployments from a software engineering perspective….

Machine Learning and Computer Vision Engineer – Technical Interview Questions – GitHub – andrewekhalel/MLQuestions: Machine Learning and Computer Vision Engineer – Technical Interview Questions…

Machine learning algorithms usually operate as black boxes and it is unclear how they derived a certain decision. This book is a guide for practitioners to make machine learning decisions interpretable.