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Math for Data Science

Name: Math for Data Science
Brand: Springer, Berlin
SKU: 48207290
Price: 71.5 EUR
Availability: InStock
Author: Omar Hijab
ISBN: 9783031897061

Omar Hijab

Jezik

Angleščina

Knjiga Trda

Koda Libristo: 48207290

Založba Springer, Berlin, november 2024

Math for Data Science presents the mathematical foundations necessary for studying and working in Da... Celoten opis

Koda Libristo: 48207290

173 b

71.50 €

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Math for Data Science presents the mathematical foundations necessary for studying and working in Data Science. The book is suitable for courses in applied mathematics, business analytics, computer science, data science, and engineering. The text covers the portions of linear algebra, calculus, probability, and statistics prerequisite to Data Science. The highlight of the book is the machine learning chapter, where the results of the previous chapters are applied to neural network training and stochastic gradient descent. Also included in this last chapter are advanced topics such as accelerated gradient descent and logistic regression trainability.

Clear examples are supported with detailed figures and Python code; Jupyter notebooks and supporting files are available on the author's website. More than 380 exercises and nine detailed appendices covering background elementary material are provided to aid understanding. The book begins at a gentle pace, by focusing on two-dimensional datasets. As the text progresses, foundational topics are expanded upon, leading to deeper results at a more advanced level.