Data science from scratch : first principles with Python

By:

Grus, Joel

Contributor(s):

Material type: Text

TextPublication details: Mumbai O'Reilly Shroff Publishers & Distributors Pvt.Ltd. 2019Edition: 2nd edDescription: xvii, 384pISBN:

9789352138326 (pbk)

Subject(s):

DDC classification:

005.7565 GRU

Summary: "All Indian Reprints of O'Reilly are printed in Grayscale. Data science libraries, frameworks, modules, and toolkits are great for doing data science, but theyre also a good way to dive into the discipline without actually understanding data science. With this updated second edition, youll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Todays messy glut of data holds answers to questions no ones even thought to ask. This book provides you with the know-how to dig those answers out."

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Plaksha University Library	Computer science	005.7565 GRU (Browse shelf(Opens below))	Checked out	24/08/2024	004550
Book	Plaksha University Library	Computer science	005.7565 GRU (Browse shelf(Opens below))	Available		003959

https://www.shroffpublishers.com/books/9789352138326/

"All Indian Reprints of O'Reilly are printed in Grayscale.

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but theyre also a good way to dive into the discipline without actually understanding data science. With this updated second edition, youll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.

If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Todays messy glut of data holds answers to questions no ones even thought to ask. This book provides you with the know-how to dig those answers out."

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