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A Tour of Data Science: Learn R and Python in Parallel (Chapman & Hall/CRC

Description: 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 parallelCover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools - data.table and pandasProvides a concise and accessible presentationIncludes 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.

Price: 59.77 USD

Location: Wiri

End Time: 2024-11-09T00:55:03.000Z

Shipping Cost: 0 USD

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A Tour of Data Science: Learn R and Python in Parallel (Chapman & Hall/CRCA Tour of Data Science: Learn R and Python in Parallel (Chapman & Hall/CRC

Item Specifics

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 60 Days

Refund will be given as: Money back or replacement (buyer's choice)

Return policy details:

EAN: 9780367895860

UPC: 9780367895860

ISBN: 9780367895860

MPN: N/A

Book Title: A Tour of Data Science: Learn R and Python in Para

Item Height: 1.2 cm

Number of Pages: 206 Pages

Language: English

Publication Name: Tour of Data Science

Publisher: CRC Press LLC

Publication Year: 2014

Subject: Programming / Algorithms, General, Statistics, Programming Languages / Python

Item Weight: 14.5 Oz

Type: Textbook

Author: Nailong Zhang

Item Length: 10 in

Subject Area: Mathematics, Computers, Business & Economics

Item Width: 7 in

Series: Chapman and Hall/Crc Data Science Ser.

Format: Trade Paperback

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