Libros de Programación, página 23 de 302

"Completo y, a la vez, simple y práctico, este libro está dirigido a usuarios de Excel 2019 y a desarrolladores que deseen crear aplicaciones amigables, fiables y potentes. Además de los elementos bá

El libro que tiene en sus manos condensa la teoría más elemental de la programación funcional de una forma sencilla y amena que le permitirá asimilar, entender y aplicar no sólo este paradigma de programacion sino cualquier otro paradigma (lease programacion imperativa, programacion orientada a objetos). En la actualidad el concepto de funcion se ha convertido, literalmente, en el punto de partida de la programacion moderna toda vez que corresponde al mismo concepto de los procedimientos de la programacion imperativa y los metodos de la POO, respetando sus respectivos linderos teoricos. Este libro esta redactado con un lenguaje sencillo y didactico y a pesar de ello, lo que se puede lograr a partir de los conceptos de las funciones, del enlace entre funciones, de la modularidad, de los condicionales, de la recursividad, de la estrategia "Divide y Venceras" y del manejo de conjuntos (listas y vectores), permite implementar programas que satisfacen mas de una necesidad y que sirven como gran fundamento para un primer curso de programacion en cualquier programa de formacion universitaria. Las lecciones son cortas y todas incluyen ejercicios de manera que usted pueda asimilar y aplicar la teoria que en la obra se explica. El libro contiene material adicional que podra descarga

¿Quieres desarrollar apps de Android con seguridad y rapidez? Tanto si eres un principiante que se acerca por primera vez al desarrollo para móviles, como alguien con experiencia, necesitas aprender primero los conceptos basicos de Java y de Android. El sistema Android contiene mas de doscientos paquetes o librerias de Java con miles de clases, metodos y constantes. No te desalientes, este libro presenta de forma clara y concisa los elementos esenciales para desarrollar tus propias aplicaciones Android. Superaras todas las dificultades que te surjan al aprender Java y Android mediante ejemplos sencillos, sobre apps independientes, que ilustran cada tecnica particular. Ademas, con este manual conseguiras programar: o Interfaces de usuario y menus de apps. o Entradas y salidas de datos, lecturas y escrituras de ficheros, asi como compartir datos. o Graficos interactivos, visualizacion de imagenes y reproduccion de sonido. o Temas, recursos, procesos en background, dialogos de progreso y notificaciones. o Animaciones graficas y simulaciones. Existen muchos cursos online que prometen maxima efectividad, pero ninguno tendra la eficacia, la rapidez ni el reducido precio de estas paginas. Si quieres escribir tus propios programas e iniciarte rapidamente en el desarrollo de aplicaciones para Android, este libro es tu mejor opcion. La primera edicion se empleo como texto docente en el primer curso de programacion de Android ofertado en la Escuela Internacional de Posgrado de la Universidad de Granada, 'Desarrollo de aplicaciones de Android para cientificos'. Jose Enrique Amaro Soriano es Doctor en Ciencias Fisicas y Catedratico de la Universidad de Granada, donde ha impartido varios cursos de introduccion a la programacion de Android. Ha desarrollado sus propias apps cientificas utilizando el material contenido en este libro.

En Oracle Asset - Guía de Apis, Scripts e Interfaces el lector encontrará las bases para conocer las apis, interfaces y extraer la información que requiera a nivel base de datos de Oracle. El libro

This open access book provides a basic introduction to feature modelling and analysis as well as to the integration of AI methods with feature modelling

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

Enterprises as well as individuals are racing to reap the benefits of AI However in most cases they are doing so without understanding the technology or its implications and risks which can be significant Artificial Intelligence A Guide for Everyone is a step in addressing that gap by providing information that readers can easily understand at every level This book aims to provide useful information to those planning developing or using AI which has the potential to transform industries and shape the future Whether you are stepping into the world of AI for the first time or are a seasoned professional seeking deeper insights this comprehensive guide ensures that both beginners and experienced individuals find value within its pages Artificial Intelligence A Guide for Everyone encompasses theoretical as well as practical aspects of AI across various industries and applications It demystifies AI by explaining in a language that non techies can follow its history different types differentiating technologies and various aspects of implementation It explains the connection between AI theory and real world application across diverse industries and how it fuels innovation Whether you are an executive student professional seasoned businessperson or

Cognitive Assistant Supported Human Robot Collaboration covers the design and development of cognitive assistants in the smart factory era its application domains challenges and current state of the art in assistance systems with collaborative robotics and IoT technologies standards platforms and solutions This book also provides a sociotechnical view of collaborative work in human robot teams investigating specific methods and techniques to analyze assistance systems This provides readers with a comprehensive overview of how cognitive assistants function and work in human robot teams

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

A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable How can a device know what our favorite songs are or what we should write in an email Have machines become too smart In Artificial Communication Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading If machines contribute to social intelligence it will not be because they have learned how to think like us but because we have learned how to communicate with them Esposito proposes that we think of smart machines not in terms of artificial intelligence but in terms of artificial communication To do this we need a concept of communication that can take into account the possibility that a communication partner may be not a human being but an algorithm which is not random and is completely controlled although not by the processes of the human mind Esposito investigates this by examining the use of algorithms in different areas of social life She explores the proliferation of lists and lists of lists online explaining tha

An illustrated journey through the past present and future of artificial intelligence from popular science author Cliff Pickover From medieval robots and Boolean algebra to facial recognition artificial neural networks and adversarial patches this fascinating history takes readers on a vast tour through the world of artificial intelligence Award winning author Clifford A Pickover The Math Book The Physics Book Death & the Afterlife explores the historic and current applications of AI in such diverse fields as computing medicine popular culture mythology and philosophy and considers the enduring threat to humanity should AI grow out of control Across 100 illustrated entries Pickover provides an entertaining and informative look into when artificial intelligence began how it developed where it s going and what it means for the future of human machine interaction

Deep learning from the ground up using R and the powerful Keras library In Deep Learning with R Second Edition you will learn Deep learning from first principles Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation neural style transfer and image generation Deep Learning with R Second Edition shows you how to put deep learning into action It s based on the revised new edition of François Chollet s bestselling Deep Learning with Python All code and examples have been expertly translated to the R language by Tomasz Kalinowski who maintains the Keras and Tensorflow R packages at RStudio Novices and experienced ML practitioners will love the expert insights practical techniques and important theory for building neural networks about the technology Deep learning has become essential knowledge for data scientists researchers and software developers The R language APIs for Keras and TensorFlow put deep learning within reach for all R users even if they have no experience with advanced machine learning or neural networks This book shows you how to get started on core DL tasks like computer vision natural language processing and more using R what s inside Image classification and

The latest developments in robotics and artificial intelligence and a preview of the coming decades based on research and interviews with the world s foremost experts If there s one universal trait among humans it s our social nature The craving to connect is universal compelling and frequently irresistible This concept is central to Robots and the People Who Love Them Socially interactive robots will soon transform friendship work home life love healthcare warfare education and nearly every nook and cranny of modern life This book is an exploration of how we the most gregarious creatures in the food chain could be changed by social robots On the other hand it considers how we will remain the same and asks how human nature will express itself when confronted by a new class of beings created in our own image Drawing upon recent research in the development of social robots including how people react to them how in our minds the boundaries between the real and the unreal are routinely blurred when we interact with them and how their feigned emotions evoke our real ones science writer Eve Herold takes readers through the gamut of what it will be like to live with social robots and still hold on to our humanity This is the perfect book for anyone

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Die Schulerinnen und Schuler lernen Schriften zu entwickeln, um Informationen fur gegebene Zwecke passend darzustellen. Der Fokus liegt auf Geheimschriften zur sicheren Kommunikation, Datenkomprimierung und robusten Kodierungen, mit denen verlorene Teile der Daten automatisch rekonstruiert werden konnen. Der Band schult theoretisches Informatikwissen. Im Unterricht wird daher kein Computer benotigt.

Título: Machine Learning with R Third Edition ISBN: 9781788295864 Géneros: Sinópsis: