Learn IT - Books tags intelligence

Python All-in-One For Dummies

For Dummies, 2021

The one-stop resource for all your Python queries

Powerful and flexible, Python is one of the most popular programming languages in the world. It's got all the right stuff for the software driving the cutting-edge of the development world?machine learning, robotics, artificial intelligence, data science, etc....

Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch

Apress, 2021

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by...

Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner

No Starch Press, 2021

Dive Into Algorithms is a broad introduction to algorithms using the Python Programming Language.

Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math,...

C# Game Programming Cookbook for Unity 3D

CRC Press, 2021

This second edition of C# Game Programming Cookbook for Unity 3D expounds upon the first with more details and techniques. With a fresh array of chapters, updated C# code and examples, Jeff W. Murray’s book will help the reader understand structured game development in Unity unlike ever before.

New to this...

Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

Springer, 2019

The book introduces the latest methods and algorithms developed in machine and deep learning (hybrid symbolic-numeric computations, robust statistical techniques for clustering and eliminating data as well as convolutional neural networks) dealing not only with images and the use of computers, but also their applications to visualization tasks...

Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

O'Reilly, 2017

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.

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Statistics for Engineers: An Introduction with Examples from Practice

Springer, 2021

This book describes how statistical methods can be effectively applied in the work of an engineer in terms that can be readily understood. Application of these methods enables the effort involved in experiments to be reduced, the results of these experiments to be fully evaluated, and statistically sound statements to be made as a result....

Machine Learning For Dummies

For Dummies, 2021

One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021)

Your comprehensive entry-level guide to machine learning

While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial...

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...

Visual Studio Code Distilled: Evolved Code Editing for Windows, macOS, and Linux

Apress, 2018

Use Visual Studio Code to write and debug code quickly and efficiently on any platform, for any device, using any programming language, and on the operating system of your choice.

Visual Studio Code is an open source and cross-platform development tool that focuses on code editing across a variety of development...

Automated Planning: Theory & Practice (The Morgan Kaufmann Series in Artificial Intelligence)

Morgan Kaufmann, 2004

"In recent years, comprehensive texts have been written for several of the other major areas of Artificial Intelligence, including machine learning, natural-language processing, and constraint-satisfaction processing, but until now, the field of planning has been devoid of such a resource, despite the considerable number of advances in and the...

Wavelet Theory and Its Application to Pattern Recognition (Series in Machine Perception and Artificial Intelligence)

World Scientific Publishing, 2009

This 2nd edition is an update of the book "Wavelet Theory and Its Application to Pattern Recognition" published in 2000. Three new chapters, which are research results conducted during 2001-2008, will be added. The book consists of two parts - the first contains the basic theory of wavelet analysis and the second includes...

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