Interpretable Machine Learning: Black Box Models Explainable Pattern Recognition and Machine Learning (Christopher Bishop) Gaussian Processes for Machine Learning (Carl E. Rasmussen) The Hundred-Page Machine Learning Book (Andriy Burkov) An Introduction to Statistical Learning (Gareth James, et al) Machin...
Free UnknownAdvanced Data Analysis from an Elementary Point of View Free UnknownAlgorithms_for_Reinforcement_Learning Free Hal Daumé IIIA Course in Machine Learning Free VariousA First Encounter with Machine Learning Free AlexJ.SmolaandVishyS.V.N.VishwanathanAn Introduction To Machine Learning Free Unkn...
Machine Learning Teams For product managers and data science leaders Create value with your data products Processes you can apply through the whole lifecycle of product creation Download the book By signing up, you agree that we will send you new versions of our book and information about our se...
The hundred-page machine learning bookby Andry Burkov is the perfect book to discover machine learning without getting into nitty-gritty details. It’s not easy to summarize the core elements of a complex and broad discipline like machine learning. That’s why Andriy Burkov’s work is even mor...
Hi, I found few books which are freely available and great for machine learning. Thought I would share, Introduction to statistical learning Pattern recognintion and machine learning mathematics for machine learning Dive into deep learning Machine learning: a probabilistic perspectivePlease...
Part 1: Fundamentals of Reactive Machine Learning Systems Read in liveBook 1.Learning reactive machine learning Read in liveBook 2.Using Reactive Tools Part 2: Building a Reactive Machine Learning System Read in liveBook 3.Collecting Data
A Course in Machine Learning The gist: A highly readable text designed to provide an extremely beginner-friendly approach to the topic. The book is a work in progress — some sections are still marked TODO — but what it lacks in completeness, it makes up in sheer accessibility. Target au...
“Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You’ll explore cha...
This book has a lot to offer to the Engineering and Computer Science students studying Machine Learning and Artificial Intelligence. Published by CRC press and written by Stephen Marsland, this book is unfortunately not free. However, we highly recommend you to invest in this one. Also, all the...
First, what is the motivation for the book? The following comes directly from the book itself: Machine learning has great potential for improving products, processes and research. Butcomputers usually do not explain their predictionswhich is a barrier to the adoption of machine learning. This book...