Libros de Programación, página 93 de 316

This book comprehensively covers the topic of recommender systems which provide personalized recommendations of products or services to users based on their previous searches or purchases Recommender system methods have been adapted to diverse applications including query log mining social networking news recommendations and computational advertising This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity The chapters of this book are organized into three categories Algorithms and evaluation These chapters discuss the fundamental algorithms in recommender systems including collaborative filtering methods content based methods knowledge based methods ensemble based methods and evaluation Recommendations in specific domains and contexts the context of a recommendation can be viewed as important side information that affects the recommendation goals Different types of context such as temporal data spatial data social data tagging data and trustworthiness are explored Advanced topics and applications Various robustness aspects of recommender systems such as shilling systems attack models and their defenses are discussed In addition recent topics such as learning to rank multi armed bandits gr

Quantum Computing for Healthcare Data Revolutionizing the Future of Medicine presents an advanced overview of the fundamentals of quantum computing from the transition of traditional to quantum computing to the challenges and opportunities encountered as various industries enter into the paradigm shift The book investigates how quantum AI quantum data processing and quantum data analysis can best be integrated into healthcare data systems The book also introduces a range of case studies which feature applications of quantum computing in connected medical devices medical simulations robotics medical diagnosis and drug discovery The book will be a valuable resource for researchers graduate students and professional programmers and computer engineers working in the areas of healthcare data management and analytics blockchain IoT and big data analytics

This well balanced comprehensive and engaging review surveys the development of Artificial Intelligence over the last sixty years and highlights the likely transformative effects of AI on society ov

A Fortune magazine journalist draws on his expertise and extensive contacts among the companies and scientists at the forefront of artificial intelligence to offer dramatic predictions of AI s impact over the next decade from reshaping our economy and the way we work learn and create to unknitting our social fabric jeopardizing our democracy and fundamentally altering the way we think Within the next five years Jeremy Kahn predicts AI will disrupt almost every industry and enterprise with vastly increased efficiency and productivity It will restructure the workforce making AI copilots a must for every knowledge worker It will revamp education meaning children around the world can have personal portable tutors It will revolutionize health care making individualized targeted pharmaceuticals more affordable It will compel us to reimagine how we make art compose music and write and publish books The potential of generative AI to extend our skills talents and creativity as humans is undeniably exciting and promising But while this new technology has a bright future it also casts a dark and fearful shadow AI will provoke pervasive disruptive potentially devastating knock on effects Leveraging his unrivaled access to the leaders scientists futur

The field of artificial intelligence data science and analytics is crippling itself Exaggerated promises of unrealistic technologies simplifications of complex projects and marketing hype are leading to an erosion of trust in one of our most critical approaches to making decisions data driven This book aims to fix this by countering the AI hype with a dose of realism Written by two experts in the field the authors firmly believe in the power of mathematics computing and analytics but if false expectations are set and practitioners and leaders don t fully understand everything that really goes into data science projects then a stunning 80 or more of analytics projects will continue to fail costing enterprises and society hundreds of billions of dollars and leading to non experts abandoning one of the most important data driven decision making capabilities altogether For the first time business leaders practitioners students and interested laypeople will learn what really makes a data science project successful By illustrating with many personal stories the authors reveal the harsh realities of implementing AI and analytics

The metaverse a hybrid society of the real and the virtual is attracting significant attention from academia to industry and is starting to change the world

Become a Java wizard with this popular programming guideConsider Beginning Programming with Java For Dummies your indispensable guide to learning how to program in one of the most popular programming languagesJava! Java is an invaluable language to master, as it's widely used for application development, including Android, desktop, and server-side applications.Beginning Programming with Java For Dummies is written specifically for newbies to programming. The book starts with an overview of computer programming and builds from there; it explains the software you need, walks you through writing your own programs, and introduces you to a few of the more-complex aspects of programming in Java. It also includes step-by-step examples you can try on your own (and email the author if you need help). As you work through the book, you'll get smart about these Java features:Object-oriented programming (OOP), a Java mainstayIntelliJ IDEA, an integrated development environment (IDE), that gives you one place to do all your programming, including debugging codeLoops, branches, and collectionsVariables and operatorsExpressions, statements, and blocksBeginning Programming with Java For Dummies translates all this foreign programming and computer syntax into plain English, along with plenty of helpful examples and tips. Learning a new languageand coding is definitely its own languageshould be a fun endeavor. With this book as your handy interpreter, youll be on your way to fluency, speaking the language of coders everywhere!

This book constitutes the refereed proceedings of the 19th International Conference on Theory and Applications of Satisfiability Testing SAT 2016 held in Bordeaux France in July 2016 The 31 regular papers 5 tool papers presented together with 3 invited talks were carefully reviewed and selected from 70 submissions The papers address different aspects of SAT including complexity satisfiability solving satisfiability applications satisfiability modulop theory beyond SAT quantified Boolean formula and dependency QBF

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Advance your Power BI skills by adding AI to your repertoire at a practice level With this practical book business oriented software engineers and developers will learn the terminologies practices and strategy necessary to successfully incorporate AI into your business intelligence estate

A automação desde meados do século passado até aos nossos dias tem passado por grandes mudanças. Desde os sistemas mais simples da automação com dispositivos elementares até aos mais complexos, de te

Computational Intelligence and Blockchain in Complex Systems System Security and Interdisciplinary Applications provides readers with a guide to understanding the dynamics of AI machine learning and computational intelligence in blockchain and how these rapidly developing technologies are revolutionizing a variety of interdisciplinary research fields and applications This book examines the role of computational intelligence and machine learning in the development of algorithms to deploy blockchain technology across a number of applications including healthcare insurance smart grid smart contracts digital currency precision agriculture and supply chain The authors cover the unique and developing intersection between cyber security and blockchain in modern networks as well as in depth studies on cybersecurity challenges and multidisciplinary methods in modern blockchain networks Readers will find mathematical equations throughout the book as part of the underlying concepts and foundational methods especially the complex algorithms involved in blockchain security aspects for hashing coding and decoding This book also provides readers with the most in depth technical guide to the intersection of computational intelligence and blockchain two of the most

What is artificial intelligence What problems does it solve Should we fear its potential In this highly accessible guide to the subject Richard Urwin explains how AI came about and how it has developed over the years through the construction of ever more sophisticated computer programs From primitive calculators and early robotics to stock market analytics and ChatGPT readers can explore the history and far reaching capabilities of this dynamic field and its potentially frightening possibilities Includes The History of Artificial Intelligence Data mining and Statistics Deep learning Swarm Intelligence The singularity By turns fascinating and scary Artificial Intelligence will take the reader on an amazing journey of this field s world changing potential

THE 2 TIMES BESTSELLER Artificial intelligence is going to have a massive impact on everyone s lives an accessible and sensible read that helps demystify AI Deborah Meaden entrepreneur and star of Dragon s Den Nigel Toon is a visionary leader in the field of artificial intelligence a must read Marc Tremblay Distinguished Engineer MicrosoftThose who understand how AI thinks are about to win big We are used to thinking of computers as being a step up from calculators very good at storing information and maybe even at playing a logical game like chess But up to now they haven t been able to think in ways that are intuitive or respond to questions as a human might All that has changed dramatically in the past few years Our search engines are becoming answer engines Artificial intelligence is already revolutionising sectors from education to healthcare to the creative arts But how does an AI understand sentiment or context How does it play and win games that have an almost infinite number of moves And how can we work with AI to produce insights and innovations that are beyond human capacity from writing code in an instant to unfolding the elaborate 3D puzzles of proteins We stand at the brink of a historic change that will disrupt society and at t

It s nearly impossible to build a competent Go playing machine using conventional programming techniques let alone have it win By applying advanced AI techniques in particular deep learning and reinforcement learning users can train their Go bot in the rules and tactics of the game Deep Learning and the Game of Go opens up the world of deep learning and AI by teaching readers to build their own Go playing machine Key Features Getting started with neural networks Building your Go AI Improving how your Go bot plays and reacts Audience No deep learning experience required All you need is high school level math and basic Python skills This book even teaches you how to play Go Author Bio Max Pumperla is a Data Scientist and Engineer specializing in Deep Learning at the artificial intelligence company skymind ai He is the cofounder of the Deep Learning platform aetros com Kevin Ferguson has 18 years of experience in distributed systems and data science He is a data scientist at Honor and has experience at companies such as Google and Meebo Together Max and Kevin are co authors of betago one of very few open source Go bots developed in Python

Artificial Intelligence is one of the most rapidly evolving subjects within the computing engineering curriculum with an emphasis on creating practical applications from hybrid techniques Despite this the traditional textbooks continue to expect mathematical and programming expertise beyond the scope of current undergraduates and focus on areas not relevant to many of today s courses Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge based systems neural networks fuzzy systems evolutionary computation and now also data mining The principles behind these techniques are explained without resorting to complex mathematics showing how the various techniques are implemented when they are useful and when they are not No particular programming language is assumed and the book does not tie itself to any of the software tools available However available tools and their uses will be described and program examples will be given in MATLAB The lack of assumed prior knowledge makes this book ideal for any introductory courses in artificial intelligence or intelligent systems design while the contemporary coverage means more advanced students will benefit by discovering the latest state of the art techniques The book cover

Artificial intelligence is headline news with the launch of the latest ChatGPT and Google Bard But when did we start making computers mimic the human mind And what is the reality of the capabilities of AI now and in the future AI has always stirred emotions and caused great excitement as well as great concern Since the launch of large language models such as ChatGPT the scope and capabilities of AI look set to transform our technology in both good and bad ways AI can help teach us how to write better or help us generate amazing artworks But in the wrong hands AI can create fake images and fake information that can be used to damage our societies A new addition to the popular Bite sized Chunks series this expert led book will explore how AI has developed from humble beginnings in the 1950s to today s extraordinary AIs that have more neurons than the human brain Focusing on specific AIs and their creators over the years it explains the science and engineering behind each AI discusses ethical issues and covers all the most fascinating information about one of the most important and contentious developments in human technology including the latest on generative AI ChatGPT as well as what we can expect to see in the future of this field all in short ac

Federated Learning Theory and Practi ce provides a holisti c treatment to federated learning as a distributed learning system with various forms of decentralized data and features Part I of the book begins with a broad overview of opti mizati on fundamentals and modeling challenges covering various aspects of communicati on effi ciency theoretical convergence and security Part II featuresemerging challenges stemming from many socially driven concerns of federated learning as a future public machine learning service Part III concludes the book with a wide array of industrial applicati ons of federated learning as well as ethical considerations showcasing its immense potential for driving innovation while safeguarding sensitive data Federated Learning Theory and Practi ce provides a comprehensive and accessible introducti on to federated learning which is suitable for researchers and students in academia and industrial practitioners who seek to leverage the latest advance in machine learning for their entrepreneurial endeavors

Discover how to achieve business goals by relying on high quality robust data In Data Quality Empowering Businesses with Analytics and AI veteran data and analytics professional delivers a practical and hands on discussion on how to accelerate business results using high quality data In the book you ll learn techniques to define and assess data quality discover how to ensure that your firm s data collection practices avoid common pitfalls and deficiencies improve the level of data quality in the business and guarantee that the resulting data is useful for powering high level analytics and AI applications The author shows you how to Profile for data quality including the appropriate techniques criteria and KPIs Identify the root causes of data quality issues in the business apart from discussing the 16 common root causes that degrade data quality in the organization Formulate the reference architecture for data quality including practical design patterns for remediating data quality Implement the 10 best data quality practices and the required capabilities for improving operations compliance and decision making capabilities in the business An essential resource for data scientists data analysts business intelligence professionals chief technology and

Computer vision is central to many leading edge innovations including self driving cars drones augmented reality facial recognition and much much more Amazing new computer vision applications are developed every day thanks to rapid advances in AI and deep learning DL Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent scalable computer vision systems that can identify and react to objects in images videos and real life With author Mohamed Elgendy s expert instruction and illustration of real world projects you ll finally grok state of the art deep learning techniques so you can build contribute to and lead in the exciting realm of computer vision Key Features Introduction to computer vision Deep learning and neural network Transfer learning and advanced CNN architectures Image classification and captioning For readers with intermediate Python math and machine learning skills About the technology By using deep neural networks AI systems make decisions based on their perceptions of their input data Deep learning based computer vision CV techniques which enhance and interpret visual perceptions makes tasks like image recognition generation and classification possible Mohamed Elgendy is the hea