General

This book aims to provide the latest research developments and results in the domain of AI techniques for smart cyber ecosystems. It presents a holistic insight into AI-enabled theoretic approaches and methodology in IoT networking, security analytics...

Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and DeepnetKey FeaturesUnderstand deep learning algorithms and architectures using R and determine which algorithm is best...

An Introduction to Knowledge Engineering presents a simple but detailed exp- ration of current and established work in the ?eld of knowledge-based systems and related technologies. Its treatment of the increasing variety of such systems is designed to...

"I love my robot lawn mowers, my laptop, wifi, Google, Facetime, Whatsapp and the possibility of drone postal deliveries and more.. Yet worries nag about being overwhelmed by an artificial intelligence revolution whose ethical and moral parameters are...

Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engineering (SE).Artificial Intelligence (AI) is a growing field in computer science that has been...

Learn how to develop intelligent applications with sequential learning and apply modern methods for language modeling with neural network architectures for deep learning with Python's most popular TensorFlow framework. Key Features Train and deploy...

Companies everywhere are moving everyday business processes over to the cloud, and AI is increasingly being given the reins in these tasks. As this massive digital transformation continues, the combination of serverless computing and AI promises to...

For readers of Michio Kaku and Stephen Hawking, the book readers have acclaimed as "A mega-comprehensive outlook at intelligence as convincing as it is surprising" and "A truly breathtaking forecast on the future of intelligence." With the ongoing...

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...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781838337209Author Emmanuel MaggioriFormat PaperbackPage Count 242Imprint Applied Maths LtdPublisher Applied Maths LtdWeight(grams) 140g

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...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262082907Author David J. HandFormat HardbackPage Count 578Imprint Bradford BooksPublisher MIT Press LtdWeight(grams) 1179gDimensions(mm) 229mm * 203mm *...

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 Features Use R 3.5 to implement real-world examples...

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...

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) 140g

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...

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...

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...

Artificial Intelligence: An Introduction for the Inquisitive Reader guides readers through the history and development of AI, from its early mathematical beginnings through to the exciting possibilities of its potential future applications. To make this...