Learn IT - Books tags intelligent

Thermodynamics

Dover Publications, 1956

In this classic of modern science, the Nobel Laureate presents a clear treatment of systems, the First and Second Laws of Thermodynamics, entropy, thermodynamic potentials, and much more. Calculus required.

THIS book ori~nated in a course of lectures held at Columbia University, New York, during the summer session of...

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Packt Publishing, 2018

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

Discover high-performing machine learning algorithms and understand how they work in depth

One-stop solution to mastering supervised, unsupervised, and...

Learning scikit-learn: Machine Learning in Python

Packt Publishing, 2013

Incorporating machine learning in your applications is becoming essential. As a programmer this book is the ideal introduction to scikit-learn for your Python environment, taking your skills to a whole new level.

Overview

Use Python and scikit-learn to create intelligent applications

Apply...

Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition (Electrical Engineering and Applied Signal Processing)

CRC Press, 2008

In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent buildings.

Handbook of Multisensor Data...

Expert Oracle Enterprise Manager 12c

Apress, 2013

Enterprise Manager 12c (EM12c), Oracle’s newest and fully-integrated enterprise management product, now provides a complete cloud lifecycle management solution and enterprise environment management interface. Expert Oracle Enterprise Manager 12c opens up the secrets of this incredible management tool, saving...

Learn Unity ML-Agents - Fundamentals of Unity Machine Learning: Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games

Packt Publishing, 2018

Transform games into environments using machine learning and Deep learning with Tensorflow, Keras, and Unity

Key Features

Learn how to apply core machine learning concepts to your games with Unity

Learn the Fundamentals of Reinforcement Learning and Q-Learning and apply...

Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume IX: Aging, Gender and Work, Anthropometry, Ergonomics ... in Intelligent Systems and Computing)

Springer, 2018

This book presents the proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), held on August 26-30, 2018, in Florence, Italy. By highlighting the latest theories and models, as well as cutting-edge technologies and applications, and by combining findings from a range of disciplines including...

Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents

Packt Publishing, 2018

A practical guide to mastering reinforcement learning algorithms using Keras

Key Features

Build projects across robotics, gaming, and finance fields, putting reinforcement learning (RL) into action

Get to grips with Keras and practice on real-world unstructured...

Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

Packt Publishing, 2018

Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow

Key Features

Build TensorFlow-powered AI applications for mobile and embedded devices

Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning

...

The Handbook of Brain Theory and Neural Networks: Second Edition

MIT Press, 2002

Dramatically updating and extending the first edition, published in 1995, the second edition of The Handbook of Brain Theory and Neural Networks presents the enormous progress made in recent years in the many subfields related to the two great questions: How does the brain work? and, How can we build intelligent machines?

Once...

Artificial Intelligence: A New Synthesis (The Morgan Kaufmann Series in Artificial Intelligence)

Morgan Kaufmann, 1998

Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and...

Neural Networks: Computational Models and Applications (Studies in Computational Intelligence)

Springer, 2007

Artificial neural networks, or simply called neural networks, refer to the various mathematical models of human brain functions such as perception, computation and memory. It is a fascinating scientific challenge of our time to understand how the human brain works. Modeling neural networks facilitates us in investigating the...

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