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Archana Tikayat Ray Ryan T. W Practical Discrete Mathema (Paperback) (UK IMPORT)
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eBay item number:395087951994
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Book Title
- Practical Discrete Mathematics
- Publication Name
- Practical Discrete Mathematics : Discover Math Principles That Fuel Algorithms for Computer Science and Machine Learning with Python
- Title
- Practical Discrete Mathematics
- Subtitle
- Discover math principles that fuel algorithms for computer scienc
- Format
- Trade Paperback
- EAN
- 9781838983147
- ISBN
- 9781838983147
- Publisher
- Packt Publishing, The Limited
- Genre
- Science Nature & Math
- Subject
- Computing & Internet
- Release Date
- 15/01/2021
- Release Year
- 2021
- Language
- English
- Country/Region of Manufacture
- GB
- Item Height
- 93mm
- Item Length
- 75mm
- Publication Year
- 2021
- Type
- Textbook
- Number of Pages
- 330 Pages
About this product
Product Information
A practical guide simplifying discrete math for curious minds and demonstrating its application in solving problems related to software development, computer algorithms, and data scienceKey Features* Apply the math of countable objects to practical problems in computer science* Explore modern Python libraries such as scikit-learn, NumPy, and SciPy for performing mathematics* Learn complex statistical and mathematical concepts with the help of hands-on examples and expert guidanceBook DescriptionDiscrete 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* Understand the terminology and methods in discrete math and their usage in algorithms and data problems* Use Boolean algebra in formal logic and elementary control structures* Implement combinatorics to measure computational complexity and manage memory allocation* Use random variables, calculate descriptive statistics, and find average-case computational complexity* Solve graph problems involved in routing, pathfinding, and graph searches, such as depth-first search* Perform ML tasks such as data visualization, regression, and dimensionality reductionWho this book is forThis book is for computer scientists looking to expand their knowledge of discrete math, the core topic of their field. University students looking to get hands-on with computer science, mathematics, statistics, engineering, or related disciplines will also find this book useful. Basic Python programming skills and knowledge of elementary real-number algebra are required to get started with this book.
Product Identifiers
Publisher
Packt Publishing, The Limited
ISBN-10
1838983147
ISBN-13
9781838983147
eBay Product ID (ePID)
20050395988
Product Key Features
Publication Name
Practical Discrete Mathematics : Discover Math Principles That Fuel Algorithms for Computer Science and Machine Learning with Python
Format
Trade Paperback
Language
English
Publication Year
2021
Type
Textbook
Number of Pages
330 Pages
Additional Product Features
Topic
Probability & Statistics / General, Linear & Nonlinear Programming, Discrete Mathematics
Genre
Mathematics
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eBay item number:395087951994
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