Artificial Intelligence

For decades, films such as WarGames and The Terminator have warned that the combination of artificial intelligence and nuclear weapons might be a recipe for an apocalypse. Might these prophecies of doom become reality in coming decades? Using...

Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years. This book gives a thorough introduction to the methods that are most widely used today. After an introduction to dependency...

Corpus linguistics is a research method which draws on authentic language examples, collected and organized into 'corpora', or searchable 'bodies' of data. The method was established in the 1960s, and has rapidly developed since then. Now in its second...

Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python. You'll...

This book analyses the implications of the technical, legal, ethical and privacy challenges as well as challenges for human rights and civil liberties regarding Artificial Intelligence (AI) and National Security. It also offers solutions that can be...

Machine learning has taken time to move into the space of academic economics. This is because empirical research in economics is concentrated on the identification of causal relationships in parsimonious statistical models; whereas machine learning is...

In Language and Chronology, Toner and Han apply innovative Machine Learning techniques to the problem of the dating of literary texts. Many ancient and medieval literatures lack reliable chronologies which could aid scholars in locating texts in their...

Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now - at least in principle - solve any...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781544502830Author Terence C M TseFormat HardbackPage Count 260Imprint Mark EspositoPublisher Mark EspositoWeight(grams) 467gDimensions(mm) 216mm * 140mm *...

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...

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...

Animals are living things. They need certain things to grow and live. What are they? Let's investigate what animals need to survive!About the AuthorLisa M. Bolt Simons has published more than 60 nonfiction children's books, as well as four middle grade...

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