Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects (English Edition)
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Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects (English Edition)
This book is your ticket to a future filled with innovation and professional advancement within the dynamic world of computer vision.
Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects (English Edition)
Č. položky: 110497269

Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of

87% of respondents would recommend this to a friend

Č. položky: 110497269

€ 25

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What Stands Out

Comprehensive Learning
This book provides a thorough understanding of OpenCV with Python, integrating NumPy, Scikit-learn, TensorFlow, and Matplotlib to equip readers with essential skills for machine learning.
Practical Projects
Readers engage with hands-on projects that reinforce advanced algorithms, making complex concepts accessible and applicable, fostering real-world machine learning applications throughout the learning process.
Expert Guidance
Authored by experts, this guide delivers high-quality instruction and insights into machine learning techniques, ensuring readers gain both foundational knowledge and advanced practical skills effectively.

Detaily produktu

Shop Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects (English Edition) online at a best price in Slovakia. B0CNLRN5XY
Publisher Orange Education Pvt Ltd
Publication date November 16, 2023
Language English
File size 10.8 MB
Screen Reader Supported
Enhanced typesetting Enabled
X-Ray Not Enabled
Word Wise Not Enabled
Print length 425 pages
Page Flip Enabled
Item Weight0.6 lbs (270 grams)

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Learners seeking to develop machine learning skills with practical projects and hands-on coding experience will benefit greatly.

  • Computer Vision Enthusiasts

    Individuals interested in understanding and applying advanced computer vision techniques using OpenCV and Python will find this resource useful.

  • Students in AI

    Students pursuing artificial intelligence studies will benefit from this comprehensive guide covering essential algorithms and libraries.

Not Suitable For
  • Absolute Beginners

    Those with no prior programming experience may find the content too advanced without foundational knowledge.

OPIS PRODUKTU

Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects (English Edition)

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Otázky a odpovede zákazníkov

  • otázka: Is prior programming experience necessary to understand this book?

    odpoveď: No prior experience is required, although basic programming understanding is helpful.
  • otázka: What kind of projects will I be able to undertake after reading this book?

    odpoveď: You will be able to work on real-world projects, including image processing challenges and machine learning applications in computer vision.
  • otázka: Who is this book intended for?

    odpoveď: It is designed for beginners, tech enthusiasts, students, and anyone interested in pursuing a career in AI and computer vision.

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€ 25

Tento produkt nie je dodávaný Ubuyom a jeho doručenie bude trvať minimálne 10 dní. Ak nastane problém s doručením tohto tovaru, možno bude potrebné, aby sme zrušili objednávku a vrátili vám peniaze.

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Funkcie a výhody

  • Unlock the full potential of OpenCV for advanced computer vision.
  • Learn from fundamentals to advanced techniques with comprehensive coverage.
  • Hands-on exercises ensure practical skills that can be applied immediately.
  • Prepare for high-demand careers in machine learning and computer vision.
  • Accessible for beginners with no prior experience in the field.
  • Gain confidence and expertise through real-world projects and challenges.

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