Libros de Programación, página 37 de 341

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 making technologies inclusive and enabling user collaboration with AI AI ML based systems have changed the way of traditional UX design Instead of programming a method to do a specific action creators of these systems provide data and nurture them to curate outcomes based on inputs These systems are dynamic and while AI systems change over time their user experience in many cases does not adapt to this dynamic nature Applied UX Design for Artificial Intelligence will explore this problem addressing the challenges and opportunities in UX design for AI ML systems look at best practices for designers managers and product creators and showcase how individuals from a non technical background can collaborate effectively with AI and Machine learning teams You Will Learn Best practices in UX design when building human centric AI products or features Ability to spot opportunities for applying AI in their organizations Advantages and limitations of AI when building software products Ability to collaborate and commun

The expert guide to creating production machine learning solutions with ML NET ML NET brings the power of machine learning to all NET developers and Programming ML NET helps you apply it in real production solutions Modeled on Dino Esposito s best selling Programming ASP NET this book takes the same scenario based approach Microsoft s team used to build ML NET itself After a foundational overview of ML NET s libraries the authors illuminate mini frameworks ML Tasks for regression classification ranking anomaly detection and more For each ML Task they offer insights for overcoming common real world challenges Finally going far beyond shallow learning the authors thoroughly introduce ML NET neural networking They present a complete example application demonstrating advanced Microsoft Azure cognitive services and a handmade custom Keras network showing how to leverage popular Python tools within NET 14 time Microsoft MVP Dino Esposito and son Francesco Esposito show how to Build smarter machine learning solutions that are closer to your user s needs See how ML NET instantiates the classic ML pipeline and simplifies common scenarios such as sentiment analysis fraud detection and price prediction Implement data processing and training and produ

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

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

Author Ryan Sleeper one of the world s most qualified Tableau consultants complements his web posts and instructional videos with this guide to give you a firm understanding of how to use Tableau t

Learning a programming language can seem like a daunting task. You may have looked at coding in the past, and felt it was too complicated and confusing. This comprehensive beginners guide will take you step by step through learning one of the best programming languages out there. In a matter of no time, you will be writing code like a professional.Java is one of the most popular and widely used programming languages available. Most of the modern applications built around the world, including server side and business logic components, are made from the Java programming language. Its portability and ease of use has ensured that it is a favourite among novices and seasoned developers alike.

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

Master machine learning by writing code one line at a time from simple learning programs all the way to a true deep learning system Tackle the hard topics by breaking them down so they re easier to understand and build your confidence by getting your hands dirty

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!

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