Wheelers Books
A Tour of Data Science: Learn R and Python in Parallel
 

A Tour of Data Science: Learn R and Python in Parallel (Hardback)

By Zhang, Nailong

  • RRP: $271.00
  • $271.00
  • Pub Date
    3 Dec 20

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 Scie...nce. 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.
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ISBN 9780367897062
Released NZ 3 Dec 2020
Publisher Taylor & Francis Ltd
Format Hardback
Alternate Format(s) View All (1 other possible title(s) available)
Series Chapman & Hall/CRC Data Science Series
Availability
Available for pre-order, ships once released

Full details for this title

ISBN-13 9780367897062
Stock Release date is 3 December 2020
Status Available for pre-order, ships once released
Publisher Taylor & Francis Ltd
Imprint CRC Press
Released 3 Dec 2020
Publication Country United Kingdom United Kingdom
Format Hardback
Author(s) By Zhang, Nailong
Series Chapman & Hall/CRC Data Science Series
Category Probability & Statistics
Automatic Control Engineering
Computer Programming Languages
Mathematical & Statistical Software
Databases
Number of Pages 216
Dimensions Width: 280mm
Height: 210mm
Dewey Code Not specified
Weight Not specified - defaults to 1,000g
Interest Age 16+ years
Reading Age 16+ years
ONIX Text College/higher education

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