Essential_Math_for_Data_Science
Essential_Math_for_Data_Science
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Essential Math for Data Science

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size

17.78 x 1.91 x 22.86 cm

Product Information

Genre

Science & Mathematics


Author Name

Thomas Nield


About Author

Thomas Nield is the founder of Nield Consulting Group as well as an instructor at O'Reilly Media and University of Southern California. He enjoys making technical content relatable and relevant to those unfamiliar or intimidated by it. Thomas regularly teaches classes on data analysis, machine learning, mathematical optimization, and practical artificial intelligence. At USC he teaches AI System Safety, developing systematic approaches for identifying AI-related hazards in aviation and ground vehicles. He's authored two books, including Getting Started with SQL (O'Reilly) and Learning RxJava (Packt).


Material

Spiral-bound


Ideal for

Unisex


Code

978-1098102937 (ISBN CODE)


No

{" of Pages":"349 pages"}


Country Of Origin

India

Product Description

Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insights to maximize your career.