Learn IT - Books tags artificial

Artificial Intelligence: How it Changes the Future

Independent Publishers Group, 2019

Artificial Intelligence lives among us. They are in smartphones; they help people find information; they also learn the behaviors of their owners and produce relevant contents to enhance their user’s experience and encourage them to continue using the device. Some people are actually right to be concerned when AI is deeply entrenched like...

Machine Learning Paradigms: Advances in Data Analytics (Intelligent Systems Reference Library, 149)

Springer, 2018

This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives towards dramatic changes in our daily lives, the...

Grokking Deep Learning

Manning Publications, 2019

Summary

Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks.

Purchase of the print book...

Python Machine Learning Case Studies: Five Case Studies for the Data Scientist

Apress, 2017

Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on...

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Packt Publishing, 2019

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

Build a strong foundation in neural networks and deep learning with Python libraries

Explore advanced deep learning techniques and their applications...

Introduction to Artificial Intelligence (Undergraduate Topics in Computer Science)

Springer, 2011

Artificial Intelligence (AI) has the definite goal of understanding intelligence and building intelligent systems. However, the methods and formalisms used on the way to this goal are not firmly set, which has resulted in AI consisting of a multitude of subdisciplines today. The difficulty in an introductory AI course lies in conveying...

Learning and Intelligent Optimization: 12th International Conference, LION 12, Kalamata, Greece, June 10–15, 2018, Revised Selected Papers (Lecture Notes in Computer Science, 11353)

Springer, 2019

This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Learning and Intelligent Optimization, LION 12, held in Kalamata, Greece, in June 2018.
The 28 full papers and 12 short papers presented have been carefully reviewed and selected from 62 submissions. The papers...

Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Packt Publishing, 2018

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

Gain real-world contextualization using deep learning problems concerning research and application

Get to know the best practices to improve and optimize your machine...

Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Packt Publishing, 2018

Build, scale, and deploy deep neural network models using the star libraries in Python

Key Features

Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras

Build, deploy, and scale end-to-end deep neural network models in a production...

Artificial Companion for Second Language Conversation: Chatbots Support Practice Using Conversation Analysis

Springer, 2019

The research described in this book shows that conversation analysis can effectively model dialogue. Specifically, this work shows that the multidisciplinary field of communicative ICALL may greatly benefit from including Conversation Analysis. As a consequence, this research makes several contributions to the related research...

Developing Bots with Microsoft Bots Framework: Create Intelligent Bots using MS Bot Framework and Azure Cognitive Services

Apress, 2017

Develop Intelligent Bots using Microsoft Bot framework (C# and Node.js), Visual Studio Enterprise & Code, Microsoft Azure and Cognitive Services. This book shows you how to develop great Bots, publish to Azure and register with Bot portal so that customers can connect and communicate using famous communication channels...

Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles

Packt Publishing, 2019

Your one-stop guide to learning and implementing artificial neural networks with Keras effectively

Key Features

Design and create neural network architectures on different domains using Keras

Integrate neural network models in your applications using this highly practical...

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