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:
Appealing to data scientists, statisticians, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.
"synopsis" may belong to another edition of this title.
Nailong Zhang is lead Data Scientist at Mass Mutual Life Insurance Company.
This book covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single and short book. It does not cover everything, but instead, teaches the key concepts and topics. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source.
"About this title" may belong to another edition of this title.
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Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Paperback. Condition: Good. This book covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single and short book. It does not cover everything, but instead, teaches the key concepts and topics. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source. Seller Inventory # 00081429345
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: World of Books Inc, Montgomery, IL, U.S.A.
Paperback. Condition: Good. This book covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single and short book. It does not cover everything, but instead, teaches the key concepts and topics. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source. Seller Inventory # CIN0367895862G
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