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


Price: [price_with_discount]
(as of [price_update_date] – Details)


[ad_1]

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 significance Manipulate 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

From the brand

oreillyoreilly

Explore more Data Science

OreillyOreilly

Sharing the knowledge of experts

O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

Publisher ‏ : ‎ O’Reilly Media; 1st edition (July 5, 2022)
Language ‏ : ‎ English
Paperback ‏ : ‎ 347 pages
ISBN-10 ‏ : ‎ 1098102932
ISBN-13 ‏ : ‎ 978-1098102937
Item Weight ‏ : ‎ 1.23 pounds
Dimensions ‏ : ‎ 7 x 0.75 x 9 inches

[ad_2]

Tags:

Online Courses update
Logo