Artificial Intelligence

This book addresses the complex issue of human creativity in the age of Artificial Intelligence.Artificial intelligence (AI) is increasingly being used to create texts, images, and musical compositions. This increase in the application of AI within the...

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised...

User experience (UX) design practices have seen a fundamental shift as more and more software products incorporate machine learning (ML) components and artificial intelligence (AI) algorithms at their core. This book will probe into UX design's role in...

The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful...

Digital Twin Development and Deployment in the Cloud: Developing Cloud-Friendly Dynamic Models Using Simulink (R)/SimscapeTM and Amazon AWS promotes a physics-based approach to the field of digital twins. Through the use of multiphysics models running in...

Learn about Robotic Processing Automation (RPA) and how to build bots using UiPath. This book uses hands-on examples to explain the basics of UiPath and then walks you through real-world prototypes for testing your knowledge.Organizations around the...

Create conversational UIs using cutting-edge frameworks Key Features Build AI chatbots and voicebots using practical and accessible toolkits Design and create voicebots that really shine in front of humans Work with familiar appliances like Alexa, Google...

Dive into hyperparameter tuning of machine learning models and focus on what hyperparameters are and how they work. This book discusses different techniques of hyperparameters tuning, from the basics to advanced methods. This is a step-by-step guide to...

Concepts, tools, and techniques to explore deep learning architectures and methodologiesKey FeaturesExplore advanced deep learning architectures using various datasets and frameworksImplement deep architectures for neural network models such as CNN, RNN,...

Build and deploy powerful neural network models using the latest Java deep learning libraries About This Book * Understand DL with Java by implementing real-world projects * Master implementations of various ANN models and build your own DL...

The author defines "Geometric Algebra Computing" as the geometrically intuitive development of algorithms using geometric algebra with a focus on their efficient implementation, and the goal of this book is to lay the foundations for the...

This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety...

Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically...

Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It...

Integrate MLOps principles into existing or future projects using MLFlow, operationalize your models, and deploy them in AWS SageMaker, Google Cloud, and Microsoft Azure. This book guides you through the process of data analysis, model construction, and...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781684660827Author Suresh SamudralaFormat PaperbackPage Count 234Imprint Notion Press, Inc.Publisher Notion Press, Inc.

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780578405964Author Greg KieserFormat PaperbackPage Count 130Imprint Supersystemic.Ly LLCPublisher Supersystemic.Ly LLCWeight(grams) 120g

This book provides an argumentation model for means end-reasoning, a distinctive type of reasoning used for problem-solving and decision-making. Means end-reasoning is modelled as goal-directed argumentation from an agent's goals and known circumstances,...

This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse...

Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming languageKey FeaturesGain a fundamental understanding of advanced computer vision and neural network models in use todayCover tasks such...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262044578Author Olivier BoissierFormat HardbackPage Count 264Imprint MIT PressPublisher MIT Press Ltd

Deep learning is one of the most powerful tools in the modern artificial intelligence landscape. While having been predominantly applied to highly specialized image, text, and signal datasets, this book synthesizes and presents novel deep learning...

This textbook presents deep learning models and their healthcare applications. It focuses on rich health data and deep learning models that can effectively model health data. Healthcare data: Among all healthcare technologies, electronic health records...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9788119177639Author Patrick JFormat PaperbackPage Count 186Imprint GitforgitsPublisher GitforgitsWeight(grams) 331gDimensions(mm) 235mm * 191mm * 10mm

This book is a survey and analysis of how deep learning can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of deep learning techniques for music generation. They also develop a conceptual framework...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9783957960658Author Matteo PasquinelliFormat PaperbackPage Count 214Imprint Meson Press EgPublisher Meson Press EgWeight(grams) 336gDimensions(mm) 234mm *...

The rapidly growing field of computational social choice, at the intersection of computer science and economics, deals with the computational aspects of collective decision making. This handbook, written by thirty-six prominent members of the...

Artificial intelligence, including machine learning, has emerged as a transformational science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents presents AI using a coherent framework to study the design of...

The Era of Artificial Intelligence, Machine Learning and Data Science in the Pharmaceutical Industry examines the drug discovery process, assessing how new technologies have improved effectiveness. Artificial intelligence and machine learning are...

Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch presents machine learning techniques most commonly used in a biomedical setting. Avoiding a theoretical perspective, it provides a practical and interactive way of learning where...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9788196288358Author Mei WongFormat PaperbackPage Count 120Imprint GitforGitsPublisher GitforGits

Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition. It includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and...

New NEC4 Contract launched June 2017Book InformationISBN 9780727762214Author NEC NECFormat PaperbackImprint ICE PublishingPublisher ICE Publishing

A complete six-year primary Maths course that takes a problem-solving approach to teaching young learners the skills they need to become confident mathematicians. A* Problem-solving approach encourages students to actively explore new mathematical...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262547734Author Dario FloreanoFormat PaperbackPage Count 674Imprint MIT PressPublisher MIT Press LtdWeight(grams) 369g

Computers are already approving financial transactions, controlling electrical supplies, and driving trains. Soon, service robots will be taking care of the elderly in their homes, and military robots will have their own targeting and firing protocols...

Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability...

Grasp the fundamentals of Artificial Intelligence and build your own intelligent systems with easeKey FeaturesEnter the world of AI with the help of solid concepts and real-world use casesExplore AI components to build real-world automated...

This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in...

A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python About This Book * Your entry point into the world of artificial intelligence using the power of Python * An example-rich guide to master various...