Data science: the hard parts : techniques for excelling at data science / Daniel Vaughan.

By:

Vaughan, Daniel [author.]

Material type: Text

TextPublication details: Beijing : O'Reilly Media, 2024.Edition: First editionDescription: xvi, 237 pages : illustrations, charts ; 24 cmISBN:

9781098146474

Other title:

Techniques for excelling at data science

Subject(s):

Additional physical formats: Online version:: Data science.DDC classification:

006.312 23 VAU

Summary: This hands-on guide offers a set of techniques and best practices that are often missed in conventional data engineering and data science education. A common misconception is that great data scientists are experts in the "bit themes" of the discipline, namely ML and programming. But most of the time, these tools can only take us so far. In reality, it's the nuances within these large themes, and the ability to impact the business, that truly distinguish a top-notch data scientist from an average one. Taken as a whole, the lessons in this book make the difference between an average data scientist candidate and an exceptional data scientist working in the field. Author Daniel Vaughan has collected, extended, and used these skills to create value and train data scientists from different companies and industries.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Samtse College of Education General Stacks	Non-fiction	006.312 VAU (Browse shelf(Opens below))	Available		A21175

Includes index.

This hands-on guide offers a set of techniques and best practices that are often missed in conventional data engineering and data science education. A common misconception is that great data scientists are experts in the "bit themes" of the discipline, namely ML and programming. But most of the time, these tools can only take us so far. In reality, it's the nuances within these large themes, and the ability to impact the business, that truly distinguish a top-notch data scientist from an average one. Taken as a whole, the lessons in this book make the difference between an average data scientist candidate and an exceptional data scientist working in the field. Author Daniel Vaughan has collected, extended, and used these skills to create value and train data scientists from different companies and industries.

Book Aid International 2024 (Donated by the Bhutan Society of the UK Trust Fund) 19/3/25 D 5297-A21175

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