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Essential Math for Data Science : Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics by Thomas Nield (2022, Trade Paperback)

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Product Information

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

Product Identifiers

Publisher
O'reilly Media, Incorporated
ISBN-10
1098102932
ISBN-13
9781098102937
eBay Product ID (ePID)
22057253438

Product Key Features

Author
Thomas Nield
Publication Name
Essential Math for Data Science : Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Format
Trade Paperback
Language
English
Subject
Algebra / Linear, Probability & Statistics / Regression Analysis, Calculus
Publication Year
2022
Type
Textbook
Subject Area
Mathematics
Number of Pages
347 Pages

Dimensions

Item Length
9.1 in
Item Height
1 in
Item Width
7 in
Item Weight
21 Oz

Additional Product Features

LCCN
2023-276388
Lc Classification Number
Q325.5
Dewey Decimal
006.310151
Dewey Edition
23
Illustrated
Yes

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Essential Math for Data Science : Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics by Thomas Nield (2022, Trade Paperback)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

All listings for this product

item 1 Essential Math for Data Science Take Control of Your Data Fundamental Sealed

item 2 O'Reilly Essential Math for Data Science: Take Control of Your Data By Nield NEW

item 3 Essential Math for Data Science : Take Control of Your Data with Fundamental...

item 4 Essential Math for Data Science: Take Control of Your Data with Fundament - GOOD

item 5 Essential Math for Data Science : Take Control of Your Data with Fundamental

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Best Selling in Textbooks

Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (2017, Trade Paperback)

Self Heal by Design : The Role of Micro-organisms for Health by Barbara O'Neill (2018, Trade Paperback)

Diagnostic and Statistical Manual of Mental Disorders DSM-5-TR by American Psychiatric Association (2022, Trade Paperback)

Leadership : Theory and Practice by Peter G. Northouse (2021, Trade Paperback, Revised edition)

Research Design : Qualitative, Quantitative, and Mixed Methods Approaches by J. David Creswell and John W. Creswell (2022, Trade Paperback)

NFPA 70® Handbook with Tabs : 2023 Edition by National Fire Protection Association (NFPA) (2022, Hardcover)

PMBOK® Guide Ser.: Guide to the Project Management Body of Knowledge (PMBOK Guide) and the Standard for Project Management by Project Management Institute (2021, Trade Paperback, New Edition)

Save on Textbooks

Designing Data-Intensive Applications : The Big Ideas Behind Reliable.....

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