Name: Topics in Data Science with Practical Examples (en Inglés)
Price: 195.83 PEN
Availability: InStock
Author: Abhari, Abdolreza
ISBN: 9781727124842

portada Topics in Data Science with Practical Examples (en Inglés)

Topics in Data Science with Practical Examples (en Inglés)

Formato

Libro Físico

Autor

Abdolreza Abhari

Editorial

Createspace

Idioma

Inglés

N° páginas

150

Encuadernación

Tapa Blanda

Dimensiones

25.4 x 17.8 x 1.0 cm

Peso

0.37 kg.

ISBN13

9781727124842

Categorías

Diseño y teoría de bases de datos
Arquitectura de la información

Topics in Data Science with Practical Examples (en Inglés)

Abdolreza Abhari (Autor) · Createspace · Tapa Blanda

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Reseña del libro "Topics in Data Science with Practical Examples (en Inglés)"

Data Science, sometimes known as methods of processing and analyzing massive data sets (Big Data), is a rapidly evolving field. This book teaches important topics of the emerging data science by providing simple and practical examples in R language. Initial chapters are about data collection and management at large scale, and then data analytics and applying statistical and machine learning models on the collected data are discussed in rest of the book. Ten important topics in data science are explained in ten chapters of this book with practical examples in Oracle SQL, R, Hadoop, and MapReduce. The fundamental of data management such as relational database systems, data mining and distributed computing with practical examples of SQL and implementing Hadoop and MapReduce are detailed in chapters 1 to 3. Regression and statistical analysis, neural networks, support vector machines and machine learning are explained in simple language together with R programming examples, in chapter 4 to 7. Natural language processing, recommendation systems and analyzing social networks graphs are explained in chapters 8 to 10 of this book. Dr. Abdolreza Abhari, a professor of computer science department at Ryerson University, has collected the material of this book after many years of teaching Data Science. With the background in computer science dating back to before the invention of the world wide web, professor Abhari has extensive experience in analyzing web and social network data and creating database systems for the companies and industrial sectors in Europe and North America. His teaching area in academia includes database systems, distributed systems, and data science for graduate and undergraduate students. Although this book is written for professionals and graduated students who have a university or college degree, it is also useful for whoever considers working in the data science industry.