Neural Networks – A visual introduction for beginners – Michael Taylor
Thi s book is designed as a visual introducti on to neural networks. It is for BEGINNERS and those who have minimal knowledge of the […]
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Machine Learning with spark and python – Michael Bowles
Extracting actionable information from data is changing the fabric of modern business in ways that directly affect programmers. One way is the demand for new […]
Machine Learning Mastery with Python – Understand your data, create accurate models and work projects end-to-end – Jason Brownlee
This book focuses on a speci fic sub- field of machine learning called predictive modeling. This is the field of machine learning that is the […]
Intelligent Projects Using Python – Santanu Pattanayak
Python Artificial Intelligence Projects will help you to build smart and practical AI-based systems leveraging deep learning and reinforcement learning. The projects illustrated in this […]
Deep Learning Illustrated – A visual, Interactive Guide to Arficial Intelligence First Edition – Jon Krohn & Beyleveld Grand & Bassens Aglae
Five hundred and fifty million years ago, in the prehistoric Cambrian Period, the number of species on the planet began to surge (Figure 1.1). From the fossil record, there is evidence that this explosion was driven by the development of light detectors in the trilobite (Figure 1.2). A visual system, even a primitive one, bestows a delightful bounty of fresh capabilities. One can, as examples, spot food, foes, and friendlylooking mates at some distance. Other senses, like smell, enable animals to detect these as well, but not with the accuracy and lightspeed pace of vision. Once the trilobite could see, the hypothesis goes, this set off an arms race that produced the Cambrian explosion: The trilobite’s prey, as well as its predators, themselves had to evolve to survive.
Data Science and Big Data Analytics – EMC Education Services
Technological advances and the associated changes in practical daily life have produced a rapidly expanding “parallel universe” of new content, new data, and new information […]
Artificial Intelligence by example – Denis Rothman
This book will take you through all of the main aspects of artificial intelligence: The theory of machine learning and deep learning Mathematical representations of […]
Artificial Intelligence – A Very Short Introduction – Margaret A.Boden
Biologists, too, have used AI—in the form of ‘artificial life’ (A-Life), which develops computer models of differing aspects of living organisms. This helps them to […]
Artificial Intelligence – 101 things you must know today about our future – Lasse Rouhiainen
Did you know that artificial intelligence (AI) is changing our world faster than we can imagine? Try to envision all the mind-boggling benefits of a […]
Understanding Machine Learning from theory to algorithms – Shai Shalev-Shwartz & Shai Ben-David
The subject of this book is automated learning, or, as we will more often call it, Machine Learning (ML). That is, we wish to program […]
The hundred-page Machine Learning Book – Andriy Burkov
Let’s start by telling the truth: machines don’t learn. What a typical “learning machine” does, is finding a mathematical formula, which, when applied to a […]
Statistical Methods for Machine Learning – Disconver how to Transform data into Knowledge with Python – Jason Brownlee
Statistics is important to machine learning practitioners. Statistics is a prerequisite in most courses and books on applied machine learning. Statistical methods are used at […]
Superintelligence – Paths, Danges, Strategies – Nick Bostrom
Inside your cranium is the thing that does the reading. This thing, the human brain, has some capabilities that the brains of other animals lack. […]
Python Machine Learning Cookbook – Practical solutions from preprocessing to Deep Learning – Chris Albon
Over the last few years machine learning has become embedded in a wide variety of day-to-day business, nonprofit, and government operations. As the popularity of […]
Python Data Analytics with Pandas, NumPy and Matplotlib – Fabio Nelli
The term artificial intelligence was first used by John McCarthy in 1956, at a time full of great hopes and enthusiasm for the technology world. […]
Python Artificial Intelligence Project for Beginners – Joshua Eckroth
Artificial Intelligence (AI) is the newest emerging and disruptive technology among varied businesses, industries, and sectors. This book demonstrates AI projects in Python, covering modern […]
Practical computer vision applications using Deep Learning with CNNs – Ahmed Fawzy Gad
Artificial intelligence (AI for short) is the field of embedding human thinking into computers In other words, creating an artificial brain that mimics the functions […]
Neural Networks and Deep Learning – Charu C.Aggarwal
Neural networks were developed to simulate the human nervous system for machine learning tasks by treating the computational units in a learning model in a […]
Natural Language Processing Recipes – Akshay Kulkni & Adarsha Shivananda
Natural Language Processing Recipes is your handy problem-solution reference for learning and implementing NLP solutions using Python. Thebook is packed with thousands of code and […]
Natural Language Processing in action – Hobson Lane & Cole Howard & Hannes Max Hapke
Natural Language Processing in Action is a practical guide to processing and generating natural language text in the real world. In this book we provide […]
