A Tour of Data Science (Chapman & Hall)
Wednesday, 02 December 2020

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

<ASIN:0367895862>

 

Author: Nailong Zhang
Publisher: Chapman & Hall
Date: November 2020
Pages: 216
ISBN: 978-0367895860
Print: 0367895862
Kindle: B08KGY4BCH
Audience:data scientists
Level: Intermediate
Category: Data Science

tourdata

 

  • 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.

 

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

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