Ask the publishers to restore access to 500,000+ books. The Internet Archive keeps the record straight by preserving government websites, news publications, historical documents, and more. If you find ...

Key Takeaways Top data analytics books offer insights for both beginners and seasoned professionals.These reads cover ...

typically by using artificial neural networks or another programming model. Deep learning, which is a subtype of machine learning, falls into this category. Theory of mind is a hypothetical stage of ...

Reading feels like learning. But unless you can recreate the idea from scratch, you might just be fooling yourself. Here's ...

Key Takeaways Books help explain ML in depth, better than short tutorials.The right book depends on goals—coding, theory, or ...

Abstract: This paper demonstrates the systematic use of combinatorial coverage for selecting and characterizing test and training sets for machine learning models. The presented work adapts ...

What is this book about ... to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely statistical mindset. Causal ...

Abstract: Understanding emotion from documents automatically is an interesting research topic in the machine learning field. Nowadays, many applications like email, blog, etc have the ability to ...

This repo contains the code for the O'Reilly Media, Inc. book "Hands-on Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data" by Ankur A. Patel. Many ...

Inside the Wildest Battle for the White House has been optioned for film and television by Aline Brosh McKenna’s Lean Machine. Published on April 1 by William Morrow, the book is the authors ...