Description: Further DetailsTitle: Artificial Intelligence By ExampleCondition: NewSubtitle: Acquire advanced AI, machine learning, and deep learning design skills, 2nd EditionEAN: 9781839211539ISBN: 9781839211539Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 02/28/2020Description: Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examplesKey FeaturesAI-based examples to guide you in designing and implementing machine intelligenceBuild machine intelligence from scratch using artificial intelligence examplesDevelop machine intelligence from scratch using real artificial intelligenceBook Description AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs). This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing. By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions.What you will learnApply k-nearest neighbors (KNN) to language translations and explore the opportunities in Google TranslateUnderstand chained algorithms combining unsupervised learning with decision treesSolve the XOR problem with feedforward neural networks (FNN) and build its architecture to represent a data flow graphLearn about meta learning models with hybrid neural networksCreate a chatbot and optimize its emotional intelligence deficiencies with tools such as Small Talk and data loggingBuilding conversational user interfaces (CUI) for chatbotsWriting genetic algorithms that optimize deep learning neural networksBuild quantum computing circuitsWho this book is for Developers and those interested in AI, who want to understand the fundamentals of Artificial Intelligence and implement them practically. Prior experience with Python programming and statistical knowledge is essential to make the most out of this book.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Denis RothmanGenre: Computing & InternetISBN-10: 1839211539Release Year: 2020 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
Price: 65.67 USD
Location: 60502
End Time: 2024-11-16T22:22:27.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money back or replacement (buyer's choice)
Return policy details:
Book Title: Artificial Intelligence By Example
Title: Artificial Intelligence By Example
Subtitle: Acquire advanced AI, machine learning, and deep learning design s
EAN: 9781839211539
ISBN: 9781839211539
Release Date: 02/28/2020
Release Year: 2020
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
ISBN-10: 1839211539
Number of Pages: 578 Pages
Publication Name: Artificial Intelligence by Example : Acquire Advanced AI, Machine Learning, and Deep Learning Design Skills, 2nd Edition
Language: English
Publisher: Packt Publishing, The Limited
Publication Year: 2020
Subject: Machine Theory, Intelligence (Ai) & Semantics, Neural Networks
Type: Textbook
Author: Denis Rothman
Item Length: 3.6 in
Subject Area: Computers
Item Width: 3 in
Format: Trade Paperback