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

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

Thomas Nield

4.9/5 (27375 ratings)

Description: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 learningUnderstand techniques like linear regression, logistic regression, and neural networks in plain English, with minimal mathematical notation and jargonPerform descriptive statistics and hypothesis testing on a dataset to interpret p-values and statistical significanceManipulate vectors and matrices and perform matrix decompositionIntegrate and build upon incremental knowledge of calculus, probability, statistics, and linear algebra, and apply it to regression models including neural networksNavigate practically through a data science career and avoid common pitfalls, assumptions, and biases while tuning your skill set to stand out in the job marketWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics. To get started finding Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 350

Format: PDF, EPUB & Kindle Edition

Publisher: O'Reilly Media

Release: 2022

ISBN: 1098102886

Description: 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 learningUnderstand techniques like linear regression, logistic regression, and neural networks in plain English, with minimal mathematical notation and jargonPerform descriptive statistics and hypothesis testing on a dataset to interpret p-values and statistical significanceManipulate vectors and matrices and perform matrix decompositionIntegrate and build upon incremental knowledge of calculus, probability, statistics, and linear algebra, and apply it to regression models including neural networksNavigate practically through a data science career and avoid common pitfalls, assumptions, and biases while tuning your skill set to stand out in the job marketWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics. To get started finding Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

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

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

More Books

Getting Started with SQL: A Hands-On Approach for Beginners

Getting Started with SQL: A Hands-On Approach for Beginners

Learning RxJava: Reactive, Concurrent, and responsive applications

Learning RxJava: Reactive, Concurrent, and responsive applications

The Human Brotherhood and a Psalm of Faith. Two Poems. By Thomas Nield. 1888 [Leather Bound]

The Human Brotherhood and a Psalm of Faith. Two Poems. By Thomas Nield. 1888 [Leather Bound]

Pioneer Preacher: The Life Story of Thomas Nield

Pioneer Preacher: The Life Story of Thomas Nield

Oliver Cromwell, Lord Protector of England, a Drama

Oliver Cromwell, Lord Protector of England, a Drama

[Getting Started with SQL] [By: Nield, Thomas] [February, 2016]

[Getting Started with SQL] [By: Nield, Thomas] [February, 2016]

Mathe-Basics für Data Scientists: Lineare Algebra, Statistik und Wahrscheinlichkeitsrechnung für die Datenanalyse (German Edition)

Mathe-Basics für Data Scientists: Lineare Algebra, Statistik und Wahrscheinlichkeitsrechnung für die Datenanalyse (German Edition)

Learning RxJava with JavaFX

Learning RxJava with JavaFX