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15 Math Concepts Every Data Scientist Should Know (English, David Hoyle)
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Specifications
| Publisher | Packt Publishing |
| Language | English |
| ISBN-13 | 9781837634187 |
| ISBN-10 | 1837634181 |
| Author | David Hoyle |
Product Description
About the Book
Create more effective and powerful data science solutions by learning when, where, and how to apply key math principles that drive most data science algorithms Key Features: - Understand key data science algorithms with Python-based examples - Increase the impact of your data science solutions by learning how to apply existing algorithms - Take your data science solutions to the next level by learning how to create new algorithms - Purchase of th…
ISBN: 9781837634187
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in 15 Math Concepts Every Data Scientist Should Know
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Packt Publishing
Who Should Read This
Students and professionals interested in Packt Publishing, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Is 15 Math Concepts Every Data Scientist Should Know available in English?
15 Math Concepts Every Data Scientist Should Know is available in English on GlowMirror.
Who is the author of 15 Math Concepts Every Data Scientist Should Know?
15 Math Concepts Every Data Scientist Should Know is authored by David Hoyle.
Who published 15 Math Concepts Every Data Scientist Should Know?
15 Math Concepts Every Data Scientist Should Know is published by Packt Publishing.
How many pages does 15 Math Concepts Every Data Scientist Should Know have?
Page count information for 15 Math Concepts Every Data Scientist Should Know is available in the specifications section of this page.
How long does it take to read 15 Math Concepts Every Data Scientist Should Know?
At an average reading speed of 250 words per minute, reading 15 Math Concepts Every Data Scientist Should Know takes a few hours to a few days depending on reading pace.
What is 15 Math Concepts Every Data Scientist Should Know about?
About the Book
Create more effective and powerful data science solutions by learning when, where, and how to apply key math principles that drive most data science algorithms Key Features: - Understand key data science algorithms with Python-based examples - Increase the impact of your data scienc...
Is 15 Math Concepts Every Data Scientist Should Know suitable for beginners?
Whether 15 Math Concepts Every Data Scientist Should Know is suitable for beginners depends on your background in Packt Publishing. Review the product description and specifications above for details on the target audience and difficulty level.
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