A Tour Of Data Science: Learn R And Python In Parallel
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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.
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.
种类:
年:
2021
出版:
1st Edition
出版社:
CRC Press/Taylor & Francis Group
语言:
english
页:
217
ISBN 10:
100021527X
ISBN 13:
9781000215236
系列:
Chapman & Hall/CRC Big Data Series
文件:
PDF, 6.53 MB
您的标签:
IPFS:
CID , CID Blake2b
english, 2021
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