A comprehensive introduction to mathematics in Python for artifi cial intelligence applications
With examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easy
Key Features
Discover how most programmers use the main Python libraries when performing statistics with Python
Use descriptive statistics and visualizations to answer business and scientific questions
Solve complicated calculus problems, such as arc length and solids of revolution using derivatives and integrals
Book Description
Are you looking to start developing artificial intelligence applications? Do you need a refresher on key mathematical concepts? Full of engaging practical exercises, The Statistics and Calculus with Python Workshop will show you how to apply your understanding of advanced mathematics in the context of Python.
The book begins by giving you a high-level overview of the libraries you'll use while performing statistics with Python. As you progress, you'll perform various mathematical tasks using the Python programming language, such as solving algebraic functions with Python starting with basic functions, and then working through transformations and solving equations. Later chapters in the book will cover statistics and calculus concepts and how to use them to solve problems and gain useful insights. Finally, you'll study differential equations with an emphasis on numerical methods and learn about algorithms that directly calculate values of functions.
By the end of this book, you'll have learned how to apply essential statistics and calculus concepts to develop robust Python applications that solve business challenges.
What you will learn
Get to grips with the fundamental mathematical functions in Python
Perform calculations on tabular datasets using pandas
Understand the differences between polynomials, rational functions, exponential functions, and trigonometric functions
Use algebra techniques for solving systems of equations
Solve real-world problems with probability
Solve optimization problems with derivatives and integrals
Who this book is for
If you are a Python programmer who wants to develop intelligent solutions that solve challenging business problems, then this book is for you. To better grasp the concepts explained in this book, you must have a thorough understanding of advanced mathematical concepts, such as Markov chains, Euler's formula, and Runge-Kutta methods as the book only explains how these techniques and concepts can be implemented in Python.
Table of Contents
Fundamentals of Python
Python's Main Tools for Statistics
Python's Statistical Toolbox
Functions and Algebra with Python
More Mathematics with Python
Matrices and Markov Chains with Python
Doing Basic Statistics with Python
Foundational Probability Concepts and Their Applications
Description:
A comprehensive introduction to mathematics in Python for artifi cial intelligence applicationsWith examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easy
Key Features
Book Description
Are you looking to start developing artificial intelligence applications? Do you need a refresher on key mathematical concepts? Full of engaging practical exercises, The Statistics and Calculus with Python Workshop will show you how to apply your understanding of advanced mathematics in the context of Python.
The book begins by giving you a high-level overview of the libraries you'll use while performing statistics with Python. As you progress, you'll perform various mathematical tasks using the Python programming language, such as solving algebraic functions with Python starting with basic functions, and then working through transformations and solving equations. Later chapters in the book will cover statistics and calculus concepts and how to use them to solve problems and gain useful insights. Finally, you'll study differential equations with an emphasis on numerical methods and learn about algorithms that directly calculate values of functions.
By the end of this book, you'll have learned how to apply essential statistics and calculus concepts to develop robust Python applications that solve business challenges.
What you will learn
Who this book is for
If you are a Python programmer who wants to develop intelligent solutions that solve challenging business problems, then this book is for you. To better grasp the concepts explained in this book, you must have a thorough understanding of advanced mathematical concepts, such as Markov chains, Euler's formula, and Runge-Kutta methods as the book only explains how these techniques and concepts can be implemented in Python.
Table of Contents