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Author: José Manuel Casas Publisher: Marcombo ISBN: 8426738540 Category : Computers Languages : es Pages : 223
Book Description
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.
Author: José Manuel Casas Publisher: Marcombo ISBN: 8426738540 Category : Computers Languages : es Pages : 223
Book Description
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.
Author: Shan-e-Fatima Publisher: Blue Rose Publishers ISBN: Category : Education Languages : en Pages : 189
Book Description
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.
Author: Stephen Wolfram Publisher: Wolfram Research, Incorporated ISBN: 9781944183059 Category : Mathematica (Computer file). Languages : en Pages : 0
Book Description
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.
Author: Andriy Burkov Publisher: ISBN: 9781999579500 Category : Machine learning Languages : en Pages : 141
Book Description
Provides a practical guide to get started and execute on machine learning within a few days without necessarily knowing much about machine learning.The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue.
Author: Max Kuhn Publisher: Springer Science & Business Media ISBN: 1461468493 Category : Medical Languages : en Pages : 595
Book Description
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
Author: Margarita Madrigal Publisher: Crown ISBN: 0385410956 Category : Language Arts & Disciplines Languages : en Pages : 513
Book Description
Use the English you already know to quickly learn the basics of Spanish with this unique, accessible guide featuring original illustrations by Andy Warhol—from one of America’s most prominent language teachers. Read, write, and speak Spanish in only a few short weeks! Even the most reluctant learner will be astonished at the ease and effectiveness of Margarita Madrigal’s unique method of teaching a foreign language. Completely eliminating rote memorization and painfully boring drills, Madrigal’s Magic Key to Spanish is guaranteed to help you: • Learn to speak, read, and write Spanish quickly and easily • Convert English into Spanish in an instant • Start forming sentences after the very first lesson • Identify thousands of Spanish words within a few weeks of study • Travel to Spanish-speaking countries with confidence and comfort • Develop perfect pronunciation, thanks to a handy pronunciation key With original black-and-white illustration by Andy Warhol, Madrigal’s Magic Key to Spanish will provide readers with a solid foundation upon which to build their language skills.
Author: Brad Boehmke Publisher: CRC Press ISBN: 1000730433 Category : Business & Economics Languages : en Pages : 373
Book Description
Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.
Author: Allison Beeby Lonsdale Publisher: University of Ottawa Press ISBN: 077660399X Category : Education Languages : en Pages : 280
Book Description
While many professional translators believe the ability to translate is a gift that one either has or does not have, Allison Beeby Lonsdale questions this view. In her innovative book, Beeby Lonsdale demonstrates how teachers can guide their students by showing them how insights from communication theory, discourse analysis, pragmatics, and semiotics can illuminate the translation process. Using Spanish to English translation as her example, she presents the basic principles of translation through 29 teaching units, which are prefaced by objectives, tasks, and commentaries for the teacher, and through 48 task sheets, which show how to present the material to students. Published in English.
Author: Álvaro Rocha Publisher: Springer ISBN: 3319786059 Category : Technology & Engineering Languages : en Pages : 415
Book Description
This book includes a selection of articles from The 2018 Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS’18), held in Salinas, Peninsula de Santa Elena, Ecuador, from April 18 to 20, 2018. MICRADS is an international forum for researchers and practitioners to present and discuss the most recent innovations, trends, results, experiences and concerns in the various areas of defense and security, together with their technological development and applications. The main topics covered are: Information and Communication Technology in Education; Computer Vision in Military Applications; Engineering Analysis and Signal Processing; Cybersecurity and Cyberdefense; Maritime Security and Safety; Strategy, Geopolitics and Oceanopolitics; Defense planning; Leadership (e-leadership); Defense Economics; Defense Logistics; Health Informatics in Military Applications; Simulation in Military Applications; Computer Networks, Mobility and Pervasive Systems; Military Marketing; Military Physical Training; Assistive Devices and Wearable Technology; Naval and Military Engineering; Weapons and Combat Systems; Operational Oceanography. The book is aimed at all those dealing with defense and security issues, including practitioners, researchers and teachers as well as undergraduate, graduate, master’s and doctorate students.
Author: Ian H. Witten Publisher: Elsevier ISBN: 008047702X Category : Computers Languages : en Pages : 558
Book Description
Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses. - Algorithmic methods at the heart of successful data mining—including tried and true techniques as well as leading edge methods - Performance improvement techniques that work by transforming the input or output
Author: José Manuel Casas
Author: José Manuel Casas
Author: Shan-e-Fatima
Author: Stephen Wolfram
Author: Andriy Burkov
Author: Max Kuhn
Author: Margarita Madrigal
Author: Brad Boehmke
Author: Allison Beeby Lonsdale
Author: Álvaro Rocha
Author: Ian H. Witten