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

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.

1137074411
A Tour of Data Science: Learn R and Python in Parallel

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.

190.0 In Stock
A Tour of Data Science: Learn R and Python in Parallel

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

by Nailong Zhang
A Tour of Data Science: Learn R and Python in Parallel

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

by Nailong Zhang

Hardcover

$190.00 
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Overview

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.


Product Details

ISBN-13: 9780367897062
Publisher: CRC Press
Publication date: 11/12/2020
Series: Chapman & Hall/CRC Data Science Series
Pages: 216
Product dimensions: 7.00(w) x 10.00(h) x (d)

About the Author

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

Table of Contents

"I have eagerly awaited the new version of this classic, anticipating its value as a primer on water resource economics in the classroom and in policy dialogue, as well as a tribute to Bob Young’s intellectual legacy and warm collegiality. This collaboration between John Loomis and Bob exceeds my anticipation. The extensive new material on ecosystem system services and empirical valuation methods, combined with updated material throughout the book, make this indispensable to anyone concerned with water, economics and public policy."Bonnie G. Colby, University of Arizona, Tucson, USA

"John Loomis and Robert Young provide an excellent book that enable readers to understand the importance of and the details about how to value water. I highly recommend it to students or anyone who wants to understand what water is worth."Quentin Grafton, Australian National Institute of Public Policy (ANIPP) and Crawford School of Public Policy, The Australian National University, Canberra, Australia

"Determining the Economic Value of Water is an indispensable resource for professionals facing the daunting task of valuing water in competing uses or evaluating valuations by others. The book is impressive for its expert coverage of valuation issues particular to wide-ranging water uses, and the proper use of non-market valuation methods when market prices are unavailable."Ray Huffaker, University of Florida, Gainesville, USA

"Determining the Economic Value of Water is both the state-of-the-art analysis of water evaluation techniques and a monument for an influential water economist—Dr. Robert Young. This updated and expanded one-volume-holds-all will serve for the years to come as a text for students and a blue print for scholars faced with a need to evaluate the economic value of water in various uses."Ariel Dinar, University of California, Riverside, USA

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