Introducci N Al Aprendizaje Autom Tico Con Orange
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Introducci N Al Aprendizaje Autom Tico Con Orange
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Author : José Manuel Casas
language : es
Publisher: Marcombo
Release Date : 2024-04-22
Introducci N Al Aprendizaje Autom Tico Con Orange written by José Manuel Casas and has been published by Marcombo this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-22 with Computers categories.
Aprender acerca de la inteligencia artificial (IA) y hacer realidad sus primeros modelos ahora es más fácil que nunca. Introducción al aprendizaje automático con Orange le guiará en este camino a través de una de las herramientas de software de código abierto más potentes de la actualidad, Orange Data Mining. En este libro encontrará una explicación detallada sobre Orange Data Mining, una plataforma que proporciona un entorno visual y de programación para la exploración, representación gráfica y análisis de datos. A través de un enfoque basado en componentes, este software le permitirá construir flujos de trabajo analíticos personalizados mediante la conexión de diferentes widgets para realizar tareas específicas. Apto para aficionados, curiosos y expertos por igual, este libro no solo cubre los fundamentos de la IA, sino que también le invita a sumergirse en la programación de modelos de IA por su cuenta, aprovechando una comunidad activa que constantemente enriquece Orange con nuevas capacidades y funcionalidades. Gracias a la lectura de este libro: •Aprenderá a usar el entorno de trabajo de Orange. •Comprenderá los principios del análisis de datos y su visualización. •Dominará los conceptos fundamentales del aprendizaje automático. •Será capaz de desarrollar sus propios modelos de inteligencia artificial. Únase a este viaje para explorar, aprender y crear con inteligencia artificial, mientras fomenta la colaboración y la innovación dentro de una comunidad de código abierto en constante crecimiento. Este libro es la puerta de entrada a un mundo donde la tecnología punta está al alcance de su mano. No lo deje escapar, transforme su comprensión de los datos y sus habilidades en IA.
Introducci N Al Aprendizaje Autom Tico Con Orange
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Author : José Manuel Casas
language : es
Publisher:
Release Date : 2024
Introducci N Al Aprendizaje Autom Tico Con Orange written by José Manuel Casas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Aprender acerca de la inteligencia artificial (IA) y hacer realidad sus primeros modelos ahora es más fácil que nunca. Introducción al aprendizaje automático con Orange le guiará en este camino a través de una de las herramientas de software de código abierto más potentes de la actualidad, Orange Data Mining. En este libro encontrará una explicación detallada sobre Orange Data Mining, una plataforma que proporciona un entorno visual y de programación para la exploración, representación gráfica y análisis de datos. A través de un enfoque basado en componentes, este software le permitirá construir flujos de trabajo analíticos personalizados mediante la conexión de diferentes widgets para realizar tareas específicas. Apto para aficionados, curiosos y expertos por igual, este libro no solo cubre los fundamentos de la IA, sino que también le invita a sumergirse en la programación de modelos de IA por su cuenta, aprovechando una comunidad activa que constantemente enriquece Orange con nuevas capacidades y funcionalidades. Gracias a la lectura de este libro: ' Aprenderá a usar el entorno de trabajo de Orange. ' Comprenderá los principios del análisis de datos y su visualización. ' Dominará los conceptos fundamentales del aprendizaje automático. ' Será capaz de desarrollar sus propios modelos de inteligencia artificial. Únase a este viaje para explorar, aprender y crear con inteligencia artificial, mientras fomenta la colaboración y la innovación dentro de una comunidad de código abierto en constante crecimiento. Este libro es la puerta de entrada a un mundo donde la tecnología punta está al alcance de su mano. No lo deje escapar, transforme su comprensión de los datos y sus habilidades en IA.
Sistemas De Aprendizaje Autom Tico
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Author : Varios autores
language : es
Publisher: Ediciones de la U
Release Date : 2023-07-27
Sistemas De Aprendizaje Autom Tico written by Varios autores and has been published by Ediciones de la U this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-27 with Computers categories.
El presente libro tiene una clara vocación didáctica, se dirige a todas las personas que quieren adentrarse en el apasionante campo del aprendizaje automático combinando la teórica con la práctica para que sea sencillo asimilar las explicaciones. En esta obra se revisan los algoritmos más comunes y su implementación en Python. Comienza con una introducción a las claves que han impulsado nuestra sociedad hacia "la era de los datos" y explora cómo, mediante técnicas de aprendizaje automático, obtener partido a la inmensa cantidad de datos que hoy nos rodea. A continuación, se presenta el aprendizaje no supervisado con sus principales algoritmos y usos: agrupamiento, manifolds, reglas de asociación y algoritmos de detección de anomalías. Le sigue el aprendizaje supervisado; partiendo del modelo más simple, modelo lineal multivariante, se llega a las Máquinas de Soporte Vectorial (SVM). Finalmente, analiza con el aprendizaje profundo (gran parte de lo que denominamos Inteligencia Artificial) donde se explican, de una manera sencilla e intuitiva, los perceptrones multicapa profundos, las redes convolucionales profundas (CNN) y los modelos recurrentes. Esta obra contiene numerosas aplicaciones prácticas con su código Python que podrá descargar desde la web del libro.
Aprendizaje Autom Tico Y Profundo En Python
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Author : Carlos M. Pineda Pertuz
language : es
Publisher: Ra-Ma Editorial
Release Date : 2022-04-11
Aprendizaje Autom Tico Y Profundo En Python written by Carlos M. Pineda Pertuz and has been published by Ra-Ma Editorial this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-11 with Computers categories.
Esta obra pretende ser una herramienta de apoyo y de consulta para estudiantes y profesionales interesados en dominar los fundamentos del aprendizaje automático y profundo, y así poder desarrollar sus propios modelos de aprendizaje aptos para realizar predicciones con base en los datos, para ello el autor combina explicaciones teóricas con ejemplos prácticos. El libro se inicia con explicaciones sobre el lenguaje Python, para luego abarcar los algoritmos más destacados dentro del aprendizaje de máquina. El contenido se encuentra dividido en dos partes: la primera enfocada en el machine learning y sus diferentes algoritmos de regresión y clasificación, clustering, entre otros. La segunda parte comprende varias técnicas de deep learning donde estudiaremos diferentes arquitecturas de redes neuronales como: redes densamente conectadas, redes convolucionales y redes recurrentes. Desde la web del libro podrá descargar los ejemplos y ejercicios que se desarrollan en el libro lo que facilitara al lector a asimilar lo aprendido.
Introduction To Machine Learning
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Author : Shan-e-Fatima
language : en
Publisher: Blue Rose Publishers
Release Date : 2023-09-25
Introduction To Machine Learning written by Shan-e-Fatima and has been published by Blue Rose Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-25 with Education categories.
With the use of machine learning (ML), which is a form of artificial intelligence (AI), software programmers may predict outcomes more accurately without having to be explicitly instructed to do so. In order to forecast new output values, machine learning algorithms use historical data as input. Machine learning is frequently used in recommendation engines. Business process automation (BPA), predictive maintenance, spam filtering, malware threat detection, and fraud detection are a few additional common uses. Machine learning is significant because it aids in the development of new goods and provides businesses with a picture of trends in consumer behavior and operational business patterns. For many businesses, machine learning has emerged as a key competitive differentiation. The fundamental methods of machine learning are covered in the current book.
An Elementary Introduction To The Wolfram Language
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Author : Stephen Wolfram
language : en
Publisher: Wolfram Research, Incorporated
Release Date : 2017
An Elementary Introduction To The Wolfram Language written by Stephen Wolfram and has been published by Wolfram Research, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Mathematica (Computer file). categories.
The Wolfram Language represents a major advance in programming languages that makes leading-edge computation accessible to everyone. Unique in its approach of building in vast knowledge and automation, the Wolfram Language scales from a single line of easy-to-understand interactive code to million-line production systems. This book provides an elementary introduction to the Wolfram Language and modern computational thinking. It assumes no prior knowledge of programming, and is suitable for both technical and non-technical college and high-school students, as well as anyone with an interest in the latest technology and its practical application.
Pattern Recognition And Machine Learning
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Author : Christopher M. Bishop
language : en
Publisher: Springer
Release Date : 2016-08-23
Pattern Recognition And Machine Learning written by Christopher M. Bishop and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-23 with Computers categories.
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Avances En Educaci N Tic E Innovaci N Aportaciones Para La Mejora Empresarial Y Social Advances In Education Ict And Innovation Issues For Business And Social Enhancing
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Author : María Elena García-Ruiz
language : es
Publisher: Dykinson
Release Date : 2021-06-24
Avances En Educaci N Tic E Innovaci N Aportaciones Para La Mejora Empresarial Y Social Advances In Education Ict And Innovation Issues For Business And Social Enhancing written by María Elena García-Ruiz and has been published by Dykinson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-24 with Education categories.
La finalidad del presente estudio pretende analizar cuál es el grado de penetración de los servicios financieros digitales en el medio rural, tomando como unidad territorial de análisis la Provincia de Ávila, por ser un territorio muy representativo del fenómeno de la ruralidad, ya que presenta uno de los mayores porcentajes de población residente en zonas rurales de toda España. Acompaña a este objetivo principal, la identificación del perfil y patrón de comportamiento que caracteriza a los usuarios de banca electrónica que residen en zonas rurales.
Expulsions
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Author : Saskia Sassen
language : en
Publisher: Harvard University Press
Release Date : 2014-05-05
Expulsions written by Saskia Sassen and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-05 with Business & Economics categories.
Soaring income inequality and unemployment, expanding populations of the displaced and imprisoned, accelerating destruction of land and water bodies: today’s socioeconomic and environmental dislocations cannot be fully understood in the usual terms of poverty and injustice, according to Saskia Sassen. They are more accurately understood as a type of expulsion—from professional livelihood, from living space, even from the very biosphere that makes life possible. This hard-headed critique updates our understanding of economics for the twenty-first century, exposing a system with devastating consequences even for those who think they are not vulnerable. From finance to mining, the complex types of knowledge and technology we have come to admire are used too often in ways that produce elementary brutalities. These have evolved into predatory formations—assemblages of knowledge, interests, and outcomes that go beyond a firm’s or an individual’s or a government’s project. Sassen draws surprising connections to illuminate the systemic logic of these expulsions. The sophisticated knowledge that created today’s financial “instruments” is paralleled by the engineering expertise that enables exploitation of the environment, and by the legal expertise that allows the world’s have-nations to acquire vast stretches of territory from the have-nots. Expulsions lays bare the extent to which the sheer complexity of the global economy makes it hard to trace lines of responsibility for the displacements, evictions, and eradications it produces—and equally hard for those who benefit from the system to feel responsible for its depredations.
Eloquent Javascript 3rd Edition
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Author : Marijn Haverbeke
language : en
Publisher: No Starch Press
Release Date : 2018-12-04
Eloquent Javascript 3rd Edition written by Marijn Haverbeke and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-04 with Computers categories.
Completely revised and updated, this best-selling introduction to programming in JavaScript focuses on writing real applications. JavaScript lies at the heart of almost every modern web application, from social apps like Twitter to browser-based game frameworks like Phaser and Babylon. Though simple for beginners to pick up and play with, JavaScript is a flexible, complex language that you can use to build full-scale applications. This much anticipated and thoroughly revised third edition of Eloquent JavaScript dives deep into the JavaScript language to show you how to write beautiful, effective code. It has been updated to reflect the current state of Java¬Script and web browsers and includes brand-new material on features like class notation, arrow functions, iterators, async functions, template strings, and block scope. A host of new exercises have also been added to test your skills and keep you on track. As with previous editions, Haverbeke continues to teach through extensive examples and immerses you in code from the start, while exercises and full-chapter projects give you hands-on experience with writing your own programs. You start by learning the basic structure of the JavaScript language as well as control structures, functions, and data structures to help you write basic programs. Then you'll learn about error handling and bug fixing, modularity, and asynchronous programming before moving on to web browsers and how JavaScript is used to program them. As you build projects such as an artificial life simulation, a simple programming language, and a paint program, you'll learn how to: - Understand the essential elements of programming, including syntax, control, and data - Organize and clarify your code with object-oriented and functional programming techniques - Script the browser and make basic web applications - Use the DOM effectively to interact with browsers - Harness Node.js to build servers and utilities Isn't it time you became fluent in the language of the Web? * All source code is available online in an inter¬active sandbox, where you can edit the code, run it, and see its output instantly.