Essential Math For Data Science
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Product Information
Brand
Pagify
Ideal For
Reading
Material
Paper
Country Of Origin
India
Pack Of
1
Author
Thomas Nield
Genre
Science & Mathematics
Isbn
9781098102937
Page Count
347
Product Type
Book
Product Description
- Premium Quality: Essential Math for Data Science is a comprehensive guide that helps readers master the math needed to excel in data science, machine learning, and statistics.
- Product Design: Author Thomas Nield guides readers through key areas including calculus, probability, linear algebra, and statistics, and explains how they apply to techniques like linear regression, logistic regression, and neural networks.
- User Experience: Written with clarity and practical focus, this book enables readers to build genuine mathematical competence rather than surface-level familiarity with the concepts that underpin modern data science.
- Versatile Occasion: Suited to self-study, university coursework, or professional upskilling, this title serves aspiring data scientists and seasoned practitioners seeking to strengthen their mathematical foundations.
- Quality Assurance: Along the way, readers also gain practical insights into the state of data science and how to use those insights to maximise their career, making this a well-rounded and career-relevant resource.
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