Machine Learning – The art and science of alhorithms that make sense of data – Peter Flach
This book started life in the Summer of 2008, when my employer, the University of Bristol, awarded me a one-year research fellowship. I decided to […]
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Deep Learning dummies second edition – John Paul Mueller & Luca Massaronf
As one of the most comprehensive machine learning texts around, this book does justice to the field’s incredible richness, but without losing sight of the […]
Machine Learning Applications Using Python – Cases studies form Healthcare, Retail, and Finance – Puneet Mathur
The idea of writing this book came up when I was planning a machine learning workshop in Bangalore in 2016. When I interacted with people, […]
Machine Learning – An Algorithmic Perspective second edition – Stephen Marsland
One of the most interesting features of machine learning is that it lies on the boundary of several different academic disciplines, principally computer science, statistics, […]
Learn Keras for Deep Neural Networks – Jojo Moolayil
This book is intended to gear the readers with a superfast crash course ondeep learning. Readers are expected to have basic programming skills inany modern-day […]
Introduction to the Math of Neural Networks – Jeff Heaton
If you have read other books I have written, you will know that I try to shield the reader from the mathematics behind Al. Often, […]
Introduction to Deep Learning – Eugene Charniak
Your author is a long-time artificial-intelligence researcher whose field of expertise, natural-language processing, has been revolutionized by deep learning. Unfortunately, it took him (me) a […]
Introducing Data Science – Davy Cielen & Arno D.B.Meysman & Mohamed Ali
The illustration on the cover of Introducing Data Science is taken from the 1805 edition of Sylvain Maréchal’s four-volume compendium of regional dress customs. This […]
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow – Aurelien Geron
In 2006, Geoffrey Hinton et al. published a paper showing how to train a deep neural network capable of recognizing handwritten digits with state-of-the-art precision […]
Generative Deep Learning – Teaching Machines to Paint, Write, Compose and Play – David Foster
An undeniable part of the human condition is our ability to create. Since our earliest days as cave people, we have sought opportunities to generate […]
Foundations of Machine Learning second edition – Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalkar
This book was written for anyone who wishes to explore deep learning from scratch or broaden their understanding of deep learning. Whether you’re a practicing […]
Deep Learning with Python – Francois Cholletf
If you’ve picked up this book, you’re probably aware of the extraordinary progressthat deep learning has represented for the field of artificial intelligence in the […]
Deep Learning from Scratch – Building with Python form First Principles – Seth Weidman
If you’ve tried to learn about neural networks and deep learning, you’veprobably encountered an abundance of resources, from blog posts to MOOCs (massive open online […]
Deep Learning dummies first edition – John Paul Mueller & Luca Massaron
When you talk to some people about deep learning, they think of somedeep dark mystery, but deep learning really isn’t a mystery at all — youuse […]
Building Chatbots with Python Using Natural Language Processing and Machine Learning – Sumit Raj
This book has been written with immense care to keep the teachings from this book very pragmatic and results-oriented. Building chatbots is not just about […]
Artificial Intelligence with an introduction to Machine Learning second edition – Richar E. Neapolitan & Xia Jiang
Over the years, my view of an artificial intelligence (AI) course has changed significantly. I used to view it as a course that should discuss […]
Deep Learning and Neural Networks – Jeff Heaton
Series Introduction Example Computer Languages Prerequisite Knowledge Fundamental Algorithms Other Resources Structure of this Book This book is the third in a series covering select […]
Applied Text Analysis with Python – Benjamin Benfort & Rebecca Bibro & Tony Ojeda
We live in a world increasingly filled with digital assistants that allow us to connect with other people as well as vast information resources. Part […]
Machine Learning with Python for everyone – Mark E.Fenner
From time to time, people trot out a tired claim that computers can “only do what they are told to do.” The claim is taken […]
TensorFlow for Deep Learning – Bharath Ramsundar & Reza Bosagh Zadeh
This book will introduce you to the fundamentals of machine learning through TensorFlow. TensorFlow is Google’s new software library for deep learning that makes it […]
