A Tour of Data Science : Learn R and Python in Parallel PDF
by Nailong Zhang
Part of the Chapman & Hall/CRC Data Science Series series
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.
Information
-
Download - Immediately Available
- Format:PDF
- Pages:216 pages, 4 Tables, black and white; 25 Illustrations, black and white
- Publisher:Taylor & Francis Ltd
- Publication Date:11/11/2020
- Category:
- ISBN:9781000215199
Other Formats
- Hardback from £130.00
- EPUB from £44.09
- Paperback / softback from £46.35
Information
-
Download - Immediately Available
- Format:PDF
- Pages:216 pages, 4 Tables, black and white; 25 Illustrations, black and white
- Publisher:Taylor & Francis Ltd
- Publication Date:11/11/2020
- Category:
- ISBN:9781000215199
