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

• We started tracking this book on April 28, 2024.
• This book was £39.99 when we started tracking it.
• The price of this book has changed 48 times in the past 672 days.
• The current price of this book is £36.92 last checked 18 hours ago.
• This lowest price this book has been offered at in the past six months is £29.99.
• This lowest price this book has been offered at in the past year is £29.05.
• The lowest price to date was £29.05 last reached on June 15, 2025.
• This book has been £29.05 one time since we started tracking it.
• The highest price to date was £40.99 last reached on March 31, 2025.
• This book has been £40.99 one time since we started tracking it.

• Science & MathsMathematicsAppliedProbability & Statistics
• Science & MathsMathematicsPure MathematicsAlgebra
• Science & MathsMathematicsPure MathematicsCalculus

• Publication Date: May 26, 2022
• Text-to-Speech: Disabled
• Lending: Disabled
• Print Length: 568 Pages
• File Size: 103 KB