General

Implement supervised, unsupervised, and generative deep learning (DL) models using Keras and Dopamine with TensorFlowKey FeaturesUnderstand the fundamental machine learning concepts useful in deep learningLearn the underlying mathematical concepts as you...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781250209016Author Nick PolsonFormat PaperbackPage Count 272Imprint St. Martin's GriffinPublisher St. Martin's GriffinWeight(grams) 249gDimensions(mm) 208mm...

Blockchain is an emerging technology platform for developing decentralized applications and data storage, over and beyond its role as the technology underlying the cryptocurrencies. The basic tenet of this platform is that it allows one to create a...

Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781848902077Author Josep Maria FontFormat PaperbackPage Count 554Imprint College PublicationsPublisher College PublicationsWeight(grams) 767gDimensions(mm)...

Apply machine learning to streaming data with the help of practical examples, and deal with challenges that surround streamingKey FeaturesWork on streaming use cases that are not taught in most data science coursesGain experience with state-of-the-art...

This volume engages with post-humanist and transhumanist approaches to present an original exploration of the question of how humankind will fare in the face of artificial intelligence. With emerging technologies now widely assumed to be calling into...

Learn how to use R to apply powerful machine learning methods and gain insight into real-world applications using clustering, logistic regressions, random forests, support vector machine, and more.Key FeaturesUse R 3.5 to implement real-world examples in...

This textbook covers the broader field of artificial intelligence. The chapters for this textbook span within three categories:Deductive reasoning methods: These methods start with pre-defined hypotheses and reason with them in order to arrive at...

How to Augment Language Skills outlines ways in which translators and language providers can expand their skillset and how translation technologies can be integrated into language learning and translator training.This book explains the basics of...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262537421Author Rolf PfeiferFormat PaperbackPage Count 418Imprint Bradford BooksPublisher MIT Press Ltd

Data Science, Analytics and Machine Learning with R explains the principles of data mining and machine learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with...

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...

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...

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...

In the era of 'Algorithmic Medicine', the integration of Artificial Intelligence (AI) in healthcare holds immense potential to address critical challenges faced by the industry. Drawing upon the expertise and experience of the authors in medicine, data...

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...

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...

Taking a cross-media approach to the ever-changing field of digital storytelling, this book offers an essential introduction to producing and editing interactive storytelling content, and to the platforms that host it. Merging algorithmic and AI...

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

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...