Learn IT - Books tags artificial

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....

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,...

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...

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....

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...

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...

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...

Programming Persistent Memory: A Comprehensive Guide for Developers

Apress, 2020

Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times?a huge leap forward in byte-addressable...

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...

Java, Java, Java, Object-Oriented Problem Solving (3rd Edition)

Prentice Hall, 2005

This second edition of Java, Java, Java offers a robust, accessible, and flexible problem-solving perspective. The use of Unified Modeling Language (UML) diagrams throughout the text, strongly emphasizes object-oriented design. This book assists students and professionals with their most challenging problem as beginning programmers:...

NLTK Essentials

Packt Publishing, 2015

Build cool NLP and machine learning applications using NLTK and other Python libraries

About This Book

Extract information from unstructured data using NLTK to solve NLP problems

Analyse linguistic structures in text and learn the concept of semantic analysis and parsing

Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Packt Publishing, 2018

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks

Key Features

Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision

Combine the power of Python, Keras, and TensorFlow to...

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