Description: Essential Math for Data Science : Take Control of Your Data With Fundamental Linear Algebra, Probability, and Statistics, Paperback by Nield, Thomas, ISBN 1098102932, ISBN-13 9781098102937, Like New Used, Free shipping in the US 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. Learn how to:Use Python code and libraries like SymPy, NumPy, and scikit-learn to explore essential mathematical concepts like calculus, linear algebra, statistics, and machine learning Understand techniques like linear regression, logistic regression, and neural networks in plain English, with minimal mathematical notation and jargon Perform descriptive statistics and hypothesis testing on a dataset to interpret p-values and statistical significanceManipulate vectors and matrices and perform matrix decomposition Integrate and build upon incremental knowledge of calculus, probability, statistics, and linear algebra, and apply it to regression models including neural networks Navigate practically through a data science career and avoid common pitfalls, assumptions, and biases while tuning your skill set to stand out in the job market
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Location: Jessup, Maryland
End Time: 2024-11-10T15:22:02.000Z
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Book Title: Essential Math for Data Science : Take Control of Your Data With
Number of Pages: 347 Pages
Publication Name: Essential Math for Data Science : Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Language: English
Publisher: O'reilly Media, Incorporated
Subject: Algebra / Linear, Probability & Statistics / Regression Analysis, Calculus
Publication Year: 2022
Item Height: 1 in
Item Weight: 21 Oz
Type: Textbook
Subject Area: Mathematics
Item Length: 9.1 in
Author: Thomas Nield
Item Width: 7 in
Format: Trade Paperback
