Sparse Estimation with Math and Python: 100 Exercises for Building Logic
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Sparse Estimation with Math and Python: 100 Exercises for Building Logic
The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience.
Sparse Estimation with Math and Python: 100 Exercises for Building Logic
Nº de artículo: 42167722

Sparse Estimation with Math and Python: 100 Exercises for Building Logic

85% of respondents would recommend this to a friend

Nº de artículo: 42167722

CRC 28236

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The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience.
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What Stands Out

Practical Exercises
Offers 100 hands-on exercises to deepen understanding of sparse estimation, enhancing problem-solving skills and logical reasoning.
Math and Coding
Integrates mathematical concepts with Python coding, allowing users to apply theory in practical programming scenarios for comprehensive learning.
Targeted Learning
Designed for students and professionals seeking to master sparse estimation techniques, providing a structured pathway to proficiency in both theory and application.

Detalles de producto

Shop Sparse Estimation with Math and Python: 100 Exercises for Building Logic online at a best price in Costa Rica. 9811614377
Publisher Springer
Publication date October 31, 2021
Edition 1st ed. 2021
Language English
Print length 256 pages
ISBN-10 9811614377
ISBN-13 978-9811614378
Item Weight 14 ounces (396.9 grams)
Dimensions 6.1 x 0.58 x 9.25 inches (15.5 x 1.5 x 23.5 cm)

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for individuals aiming to strengthen their skill set in data analysis and statistical modeling using Python.

  • Students in Mathematics

    Beneficial for students studying mathematics who want practical applications to reinforce their theoretical understanding.

  • Programming Enthusiasts

    Great for those who enjoy coding and want to apply their skills in mathematical problem-solving with practical exercises.

Not Suitable For
  • Beginners in Programming

    Not suitable for absolute beginners lacking foundational programming knowledge, as it assumes prior experience in Python.

DESCRIPCIÓN DEL PRODUCTO

Sparse Estimation with Math and Python: 100 Exercises for Building Logic

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Intelligence & Semantics Editorial Review

Sparse Estimation with Math and Python: 100 Exercises for Building Logic is an engaging resource published by Springer, designed to enhance your logical reasoning skills through practical exercises. Covering a range of topics, this 256-page book is ideal for anyone looking to deepen their understanding of sparse estimation techniques, while being accessible in English with a well-organized layout. Readers have appreciated the variety of exercises that challenge and develop problem-solving abilities, making it an excellent supplement for those advancing their knowledge in math and programming. Whether you are a student or a professional, the clarity and structure of this book make it a valuable educational tool.

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ventajas

  • Comprehensive exercises for skills development
  • Well-structured and easy to follow
  • Suitable for students and professionals
  • Enhances logical reasoning capabilities
  • Engaging content from a reputable publisher

Contras

  • Could benefit from additional examples or solutions

Product Price History

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CRC 28236

Haz tu pedido ahora y recíbelo por ahí Sábado, Octubre 17

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características y beneficios

  • Learn the core principles of sparse estimation through mathematical logic.
  • Includes 100 exercises for hands-on practice and mastery.
  • Self-contained approach makes it ideal for independent study.
  • Suitable for undergraduate and graduate courses with structured content.
  • Provides mathematical proofs and Python programs without dependencies.
  • A valuable resource for data scientists, ML engineers, and researchers.

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