Hands-On Neural Network Programming with C# 
by Matt R. Cole
Neural networks have made a surprise comeback in the last few years and have brought tremendous innovation in the world of artificial intelligence.The goal of this book is to provide C# programmers with practical guidance in solving complex computational challenges using neural networks and C# libraries such as CNTK, and TensorFlowSharp. This book will take you on a step-by-step practical journey, covering ...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
by David Taieb
Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyz...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
Python: Advanced Guide to Artificial Intelligence
by Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani
This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how t...
Price: $49.99 | Publisher: Packt Publishing | Release: 2018
Python: Beginner's Guide to Artificial Intelligence
by Denis Rothman, Matthew Lamons, Rahul Kumar
This Learning Path offers practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. You will be introduced to various machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. You'll find a new balance of classical ideas and...
Price: $49.99 | Publisher: Packt Publishing | Release: 2018
Pro Deep Learning with TensorFlow 
by Santanu Pattanayak
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own.Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you t...
Price: $4.99 | Publisher: Apress | Release: 2017
by Manisha Biswas, Abhishek Nandy
Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You'll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process. Reinforcement Learning discusses algorithm implementations important...
Price: $31.44 | Publisher: Apress | Release: 2017
Hands-On Machine Learning with Scikit-Learn and TensorFlow
by Aurelien Geron
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks - scikit-learn and TensorFlo...
Price: $19.50 | Publisher: O'Reilly Media | Release: 2017
by Itay Lieder, Yehezkel Resheff, Tom Hope
Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.Aut...
Price: $12.69 | Publisher: O'Reilly Media | Release: 2017
by Nikhil Buduma
With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that's paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field.Companies such as Google, Microsoft, and Facebook are actively growing in-house de...
Price: $30.45 | Publisher: O'Reilly Media | Release: 2017