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 […]
Month: September 2021
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 […]
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning – Julian Avila & Trent Hauck
Chapter 1, High-Performance Machine Learning – NumPy, features your first machine learning algorithm with support vector machines. We distinguish between classification (what type?) and regression […]
R Deep Learning Essentials – Dr. Joshua F.Wiley
This book is about how to train and use deep learning models or deep neural networks in the R programming language and environment. This book […]
Introduction to Machine Learning with Python – Andreas C.Muller & Sarah Guido
Machine learning is an integral part of many commercial applications and research projects today, in areas ranging from medical diagnosis and treatment to finding your […]
Python Machine Learning Second Edition – Sebastian Raschka & Vahid Mirjalili
Through exposure to the news and social media, you are probably aware of the fact that machine learning has become one of the most exciting […]
Python Machine Learning Third Edition – Sebastian Raschka & Vahid Mirjalili
Through exposure to the news and social media, you are probably very familiar with the fact that machine learning has become one of the most […]
Python Deep Learning – Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
With an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep-learning algorithms are used […]
Python Deep Learning Cookbook – Indra den Bakker
Deep learning is revolutionizing a wide range of industries. For many applications, deep learning has proven to outperform humans by making faster and more accurate […]
Python 3 for Absolute Beginners – Tim Hall & J.P Stacey
So, you want to learn programming. Welcome to one of the great adventures of the twenty-first century. Programming requires little in the way of specialized […]
Python Deeper Insights into Machine Learning – Sebastian Raschka & David Julian & John Hearty
Machine learning and predictive analytics are becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace .It is one of the […]
Python Machine Learning Eqution Reference – Sebastian Raschka
Giving Computers the Ability to Learn from Data Training Machine Learning Algorithms for Classification A Tour of Machine Learning Classifiers Using Scikit-learn Building Good Training […]
Pro Deep Learning with TensorFlow – Santunu Pattanayak
Pro Deep Learning with TensorFlow is a practical and mathematical guide to deep learning using TensorFlow. Deep learning is a branch of machine learning where […]
Pattern recognition and machine learning – Christopher M.Bishop
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of […]
An introduction to neural networks – Kevin Gurney & University of Sheffield
This book grew out of a set of course notes for a neural networks module given as part of a Masters degree in “Intelligent Systems”. […]
Natural Language Processing with Python – Steven Bird & Ewan Klein & Edward Loper
This is a book about Natural Language Processing. By “natural language” we mean a language that is used for everyday communication by humans; languages such […]
Amazon Machine Learning Developer Guild Version Latest
Welcome to the Amazon Machine Learning Developer Guide. Amazon Machine Learning (Amazon ML) is a robust, cloud-based service that makes it easy for developers of […]
Machine Learning – A Probabilistic Perspective – Kevin P.Murphy
IntroductionWith the ever increasing amounts of data in electronic form, the need for automated methods for data analysis continues to grow. The goal of machine […]
Learning scikit-learn Machine Learning in Python – Raul Garreta & Guillermo Moncecchi
Suppose you want to predict whether tomorrow will be a sunny or rainy day. You can develop an algorithm that is based on the current […]
Java Deep Learning Essentials – Yusuke Sugomori
With an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are […]
