Ryan T. White,Archana Tikayat Ray
Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python
Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python
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Excellent- More about Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python
A practical guide simplifying discrete math for curious minds and demonstrating its application in solving problems related to software development, computer algorithms, and data science. It covers modern Python libraries such as scikit-learn, NumPy, and SciPy, and helps learners understand complex statistical and mathematical concepts with hands-on examples and expert guidance.
Format: Paperback / softback
Length: 330 pages
Publication date: 22 February 2021
Publisher: Packt Publishing Limited
A comprehensive guide that simplifies discrete math for curious minds and showcases its applications in solving problems related to software development, computer algorithms, and data science.
Key Features:
1. Apply the math of countable objects to practical problems in computer science.
2. Explore modern Python libraries such as scikit-learn, NumPy, and SciPy for performing mathematics.
3. Learn complex statistical and mathematical concepts with hands-on examples and expert guidance.
4. Book Description: Discrete mathematics deals with studying countable, distinct elements, and its principles are widely used in building algorithms for computer science and data science. The knowledge of discrete math concepts will help you understand the algorithms, binary, and general mathematics that sit at the core of data-driven tasks.
Practical Discrete Mathematics is a comprehensive introduction for those who are new to the mathematics of countable objects. This book will help you get up to speed with using discrete math principles to take your computer science skills to a more advanced level.
As you learn the language of discrete mathematics, you'll also cover methods crucial to studying and describing computer science and machine learning objects and algorithms. The chapters that follow will guide you through how memory and CPUs work. In addition to this, you'll understand how to analyze data for useful patterns, before finally exploring how to apply math concepts in network routing, web searching, and data science.
By the end of this book, you'll have a deeper understanding of discrete math and its applications in computer science, and be ready to work on real-world algorithm development and machine learning.
What you will learn:
1. Understand the terminology and methods in discrete mathematics.
2. Apply discrete math principles to solve problems in computer science.
3. Use Python libraries like scikit-learn, NumPy, and SciPy for mathematical computations.
4. Learn complex statistical and mathematical concepts with hands-on examples.
5. Understand the workings of memory and CPUs in computer science.
6. Analyze data for useful patterns and insights.
7. Apply discrete math concepts in network routing, web searching, and data science.
8. Develop real-world algorithms and machine learning applications.
Dimension: 93 x 75 (mm)
ISBN-13: 9781838983147
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