Nield, Thomas

Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

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ISBN 13:: 9781098102937
author:: Nield, Thomas
format:: Paperback / softback
publisher:: O'Reilly Media
language:: English
Publication Year:: 2022
Pages:: 350
Dimensions:: 178mm X 25mm
Genre:: Science, Mathematics, Calculus,
Condition:: New
Availability:: Item usually sent within 7 working days

£33.70

Current Stock: 5

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Description

Description

Master the math needed to excel in data science, machine learning, and statistics. This book guides you through essential mathematical concepts like calculus, probability, linear algebra, and statistics, and how they apply to techniques like linear regression, logistic regression, and neural networks. You'll gain practical insights into the state of data science and how to use those insights to maximize your career. You'll learn to use Python code and libraries like SymPy, NumPy, and scikit-learn to explore mathematical concepts, and understand techniques like linear regression, logistic regression, and neural networks in plain English. You'll also learn to perform descriptive statistics and hypothesis testing, manipulate vectors and matrices, and integrate knowledge of calculus, probability, statistics, and linear algebra to build regression models, including neural networks. By mastering these skills, you'll be able to navigate a data science career with confidence, avoiding common pitfalls, assumptions, and biases, and tuning your skill set to stand out in the job market.

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