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Mahsulot #:
101853333
Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python
89% of respondents would recommend this to a friend
Mahsulot #:
101853333
UZS 1164416
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A comprehensive introduction for those who are new to the mathematics of countable objects.
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What Stands Out
Applied Algorithms
Covers essential mathematical principles vital for understanding and implementing algorithms in computer science and machine learning, making complex concepts easily digestible with practical Python examples.
Python Integration
Seamlessly integrates Python into learning, empowering readers to apply discrete mathematics in real-world coding scenarios and enhance their programming skills while grasping theoretical concepts.
Targeted Learning
Designed for computer science and machine learning enthusiasts, providing focused content that addresses specific learning needs, ensuring a solid mathematical foundation tailored to modern technology applications.
Mahsulot tafsilotlari
- A practical guide simplifying discrete math for computer science and data science applications
- Explore modern Python libraries like scikit-learn, NumPy, and SciPy for performing mathematics
- Learn statistical and mathematical concepts through hands-on examples and expert guidance
- Understand the terminology and methods in discrete math and their usage in algorithms and data problems
- This book is for computer scientists and university students with basic Python programming skills
| Publisher | Packt Publishing |
| Publication date | 22 Feb. 2021 |
| Language | English |
| Print length | 330 pages |
| ISBN-10 | 1838983147 |
| ISBN-13 | 978-1838983147 |
| Item weight | 618 g |
| Dimensions | 19.05 x 1.91 x 23.5 cm |
| Part of series | Communications in Computer and Information Science |
Xavfli tovarlar
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Who Should Buy?
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Data Science Students
Ideal for students exploring machine learning concepts and requiring a solid foundation in discrete mathematics principles.
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Software Developers
Beneficial for developers aiming to improve their algorithm design skills and understanding of mathematical concepts in programming.
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Mathematics Enthusiasts
Perfect for those passionately interested in practical applications of discrete mathematics in real-world computer science problems.
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Absolute Beginners
Not suitable for those without any prior knowledge of programming or mathematical concepts, as it requires foundational knowledge.
MAHSULOT TAVSIFI
Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python
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Practical Discrete Mathematics: Discover math ichida onlayn xarid qilish mumkinmi?
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Higher Education Editorial Review
Practical Discrete Mathematics: Discover Math Principles That Fuel Algorithms For Computer Science And Machine Learning With Python is a comprehensive guide designed for those interested in the foundational mathematics that underpins key concepts in computer science and machine learning. With a print length of 330 pages, published by Packt Publishing, this book delves into numerous mathematical principles essential for algorithm development. Readers can expect detailed explanations and practical examples that enhance their understanding. Furthermore, it is part of the Communications in Computer and Information Science series, making it a valuable resource for students and professionals alike.
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Pros
- In-depth coverage of discrete mathematics concepts
- Useful for computer science and machine learning
- Includes practical examples with Python
- Well-structured and easy to follow
- A valuable resource for students and professionals
Kamchiliklari
- Some readers may find it complex for beginners
Product Price History
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UZS 1164416
Hoziroq buyurtma bering va oling Chorshanba, Oktyabr 21
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Xususiyatlar va Afzalliklar
- Discover math principles that fuel algorithms for computer science and machine learning
- Apply the math of countable objects to practical problems in computer science
- Explore modern Python libraries for performing mathematics
- Learn complex statistical and mathematical concepts with hands-on examples
- Understand the terminology and methods in discrete math and their usage in algorithms
- Perform ML tasks such as data visualization, regression, and dimensionality reduction
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