Name: Data Analysis Made Easy (en Inglés)
Price: 126540.00 CLP
Availability: InStock
Author: Moreira, João ; Carvalho, Andre ; Horvath, Tomás
ISBN: 9781119296249

portada Data Analysis Made Easy (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

Encuadernación

Tapa Dura

Dimensiones

23.1 x 15.5 x 2.3 cm

Peso

0.64 kg.

ISBN13

9781119296249

Categorías

Probabilidad y estadística

Data Analysis Made Easy (en Inglés)

Andre Carvalho (Autor) · João Moreira (Autor) · Tomás Horvath (Autor) · Wiley-Interscience · Tapa Dura

Libro Físico

$ 126.540

$ 210.900

Ahorras: $ 84.360

40% descuento

Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Data Analysis Made Easy (en Inglés)"

A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors--noted experts in the field--highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples. Thought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: A guide to the reasoning behind data mining techniques A unique illustrative example that extends throughout all the chapters Exercises at the end of each chapter and larger projects at the end of each of the text's two main parts Together with these learning resources, the book can be used in a 13-week course guide, one chapter per course topic. The book was written in a format that allows the understanding of the main data analytics concepts by non-mathematicians, non-statisticians and non-computer scientists interested in getting an introduction to data science. A General Introduction to Data Analytics is a basic guide to data analytics written in highly accessible terms.