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A Tour of Data Science: Learn R and Python in Parallel (Chapman & Hall/CRC Data Science Series) - Tapa blanda

Libro 8 de 36: Chapman & Hall/CRC Data Science

Zhang, Nailong

 
9780367895860: A Tour of Data Science: Learn R and Python in Parallel (Chapman & Hall/CRC Data Science Series)
Tapa blanda
ISBN 10: 0367895862 ISBN 13: 9780367895860
Editorial: Routledge, 2020

Sinopsis

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source.

Key features:

  • Allows you to learn R and Python in parallel
  • Cover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools – data.table and pandas
  • Provides a concise and accessible presentation
  • Includes machine learning algorithms implemented from scratch, linear regression, lasso, ridge, logistic regression, gradient boosting trees, etc.

Appealing to data scientists, statisticians, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Nailong Zhang is lead Data Scientist at Mass Mutual Life Insurance Company.

De la contraportada

This book covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single and short book. It does not cover everything, but instead, teaches the key concepts and topics. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Routledge
Año de publicación
2020
Idioma
Inglés
ISBN 10 
0367895862
ISBN 13 
9780367895860
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
216
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania