Analytics y Big Data. Ciencia de los Datos aplicada al mundo de los negocios PDF Download

Author: Sebastián Maldonado
Publisher: CANOPUS EDITORIAL DIGITAL SA
ISBN: 8418982632
Category : Business & Economics
Languages : es
Pages : 406

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Book Description
Este libro constituye la primera guía en español que estudia las competencias clave para crear valor en base a datos de empresas. No solo presenta una perspectiva general de las técnicas y aplicaciones asociadas a la analítica de negocios, sino que también incluye laboratorios paso a paso para la implementación de estas herramientas. Los códigos se desarrollan en Python, que es la principal plataforma gratuita para la construcción de modelos analíticos. Los autores ofrecen cobertura esencial a los principales temas actuales: • Big Data (Hadoop, Spark, MapReduce y otros) • Aprendizaje profundo • Perfilamiento de clientes y marketing basado en datos • Financial Analytics y modelación predictiva de riesgo • Analytics con datos avanzados (textos e imágenes)

Author: Foster Provost
Publisher: "O'Reilly Media, Inc."
ISBN: 144937428X
Category : Computers
Languages : en
Pages : 506

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Book Description
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

Author: Zura Kakushadze
Publisher: Springer
ISBN: 3030027929
Category : Business & Economics
Languages : en
Pages : 480

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Book Description
The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.

Author: Marcelo Naiouf
Publisher: Springer
ISBN: 9783030848248
Category : Computers
Languages : en
Pages : 203

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Book Description
This book constitutes the revised selected papers of the 9th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2021, held in La Plata, Argentina*, in June 2021. The 12 full papers and 2 short papers presented were carefully reviewed and selected from a total of 37 submissions. The papers are organized in topical sections on parallel and distributed computing; machine and deep learning; big data; web and mobile computing; visualization.. *The conference was held virtually due to the COVID-19 pandemic.

Author: Yihui Xie
Publisher: CRC Press
ISBN: 1351792601
Category : Mathematics
Languages : en
Pages : 140

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Book Description
bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use of document elements such as figures, tables, equations, theorems, citations, and references. Similar to LaTeX, you can number and cross-reference these elements with bookdown. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats, including LaTeX/PDF, HTML, EPUB, and Word, thus making it easy to put your documents online. The style and theme of these output formats can be customized. We used books and R primarily for examples in this book, but bookdown is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers, reports, dissertations, course handouts, study notes, and even novels. You do not have to use R, either. Other choices of computing languages include Python, C, C++, SQL, Bash, Stan, JavaScript, and so on, although R is best supported. You can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with bookdown and R Markdown, and its source is fully available on GitHub.

Author: Jose Antonio Ribeiro Neto
Publisher: Jose Antonio Ribeiro Neto
ISBN:
Category : Computers
Languages : en
Pages : 174

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Book Description
Bienvenidos al libro "Big Data para Ejecutivos y Profesionales - Tecnologías, Aplicaciones y Carreras". Big Data es una tecnología “moonshot” que emerge y cambia profundamente la vida de las personas y sus carreras profesionales. Este libro está organizado para proporcionar una descripción general de Big Data, Data Science y Data Analytics. Estructura el conocimiento de forma informativa, menos técnica, para una mejor comprensión y un aprendizaje más rápido. Desmitificar y orientar a Ejecutivos y Profesionales en general sobre cómo utilizar el Big Data a su favor para obtener el éxito profesional. Un primer paso para que conozcas y te interese el Big Data. Avalie o resumo de aprendizado que fará nesta jornada. 1 - Introducción a Big Data y Data Science. Principales Tecnologías aplicadas al Big Data. Tecnologías en la nube, sistemas, hardware y software. 2 - Ecosistema Hadoop y su importancia para Big Data. Ambiente de Spark. El paradigma de programación paralela MapReduce para resolver problemas de Big Data. Data Lake, Data Warehouse y procesos ETL para Big Data. Casos de éxito: Tesla, Google, Amazon. 3 - La Ciencia de la Analítica y sus derivaciones para Predictivo y Big Data. Herramientas de analítica y sus aplicaciones en Big Data. Machine Learning (ML) y su relación con el Big Data. Aplicaciones ML para Big Data. Introducción a la visualización de datos. 4 - Privacidad en Big Data con RGPD y LGPD. Computación de borde. Transformación Digital. 5 - Principales carreras profesionales en Big Data. Empresas que crearon Big Data y utilizan la tecnología. Aplicaciones de Big Data en empresas brasileñas. Aplicaciones Big Data para redes sociales e Internet de las Cosas. Privacidad y Gobernanza en Big Data. 6 - Influencers de Big Data y Data Science. Cómo convertirse en un Científico de Datos. Currículo y Lineamientos Académicos. 7 - Conclusiones generales sobre la Era del Big Data y sus implicaciones para la vida empresarial y profesional.

Author: Álvaro Rocha
Publisher: Springer
ISBN: 3319786059
Category : Technology & Engineering
Languages : en
Pages : 415

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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: J. David Lowell
Publisher: University of Arizona Press
ISBN: 1941451004
Category : Biography & Autobiography
Languages : en
Pages : 495

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Book Description
When seven-year-old Dave Lowell was camped out at his father’s mine in the hills of southern Arizona in 1935, he knew he had found his calling. “Life couldn’t get any better than this,” he recalls. “I didn’t know what science was, but wisps of scientific thought were already working into my plan.” So began the legendary career of the engineer, geologist, explorer, and international businessman whose life is recounted in his own words in this captivating book. An Arizona native with family roots in territorial times, Lowell grew from modest beginnings on a ranch near Nogales to become a major world figure in the fields of minerals, mining, and economic geology. He has personally discovered more copper than anyone in history and has developed multibillion-dollar gold and copper mines that have changed the economies of nations. And although he has consulted for corporations in the field of mining, he has largely operated as an independent agent and explorer, the architect of his own path and success. His life’s story unfolds in four stages: his early education in his field, on-the-job learning at sites in the United States and Mexico, development of exploration strategies, and finally, the launch of his own enterprises and companies. Recurring themes in Lowell’s life include the strict personal, ethical, and tactical policies he requires of his colleagues; his devotion to his family; and his distaste for being away from the field in a corporate office, even to this day. The magnitude of Lowell’s overall success is evident in his list of mine discoveries, as well as in his scientific achievements and the enormous respect his friends and colleagues have had for him throughout his lengthy career, which he continues to zealously pursue.

Author: Luis Joyanes Aguilar
Publisher: Marcombo
ISBN: 8426729363
Category : Business & Economics
Languages : es
Pages : 483

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Book Description
El término Inteligencia de Negocios (Business Intelligence) con frecuencia también se utiliza el término Inteligencia de Negocio (en singular) fue acuñado por Gartner a mitad de la década de los 90, aunque el concepto tiene su origen en el comienzo de los sistemas de información gerenciales (MIS, Management Information System) de los años 70, cuando comenzaba la automatización de las tareas en las empresas. Hoy en día los sistemas de información son la espina dorsal de las empresas y su soporte diario y el eje sobre el que se vertebran los sistemas de Inteligencia de Negocios. El libro hace una introducción teórico-práctica a la Inteligencia de Negocios y a la Analítica de Negocios, extendida a la Analítica de Datos y sus diferentes categorías, así como a la Analítica de Big Data, dada la expansión de esta tendencia tecnológica en todo tipo de organizaciones y empresas, además de en los mundos académicos y de investigación. Se da respuesta a las preguntas más utilizadas en la gestión empresarial y en los campos de la educación y de la investigación. Se describe el panorama general del empleo y tendencias de esta tecnología con estadísticas e información muy actualizada. CONOZCA Inteligencia de negocios Analítica de negocios Empresas líderes en el mundo Productos disponibles Tendencias actuales APRENDA A buscar y elegir las mejores soluciones para su empresa. REALICE Comparaciones entre diferentes productos y estrategias para decidir lo mejor para su empresa.

Author: Luis Joyanes Aguilar
Publisher: Alpha Editorial
ISBN: 9587785428
Category : Business & Economics
Languages : es
Pages : 474

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Book Description
Inteligencia de negocios (Business Intelligence) es una disciplina muy antigua y que ha ido evolucionando con el tiempo y adaptándose a la evolución de las tecnologías de la información y las comunicaciones más disruptivas, y su implantación en la empresa, con los años, así como las tendencias empresariales más innovadoras. Analítica de negocios (BA, Business Analytics o Analytics, términos cada día más utilizados en consultoría y en estrategias de negocios) es una disciplina complementaria y ubconjunto de inteligencia de negocios que se apoya en técnicas de análisis de datos.