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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
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This book is your ticket to a future filled with innovation and professional advancement within the dynamic world of computer vision.
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Hvad der skiller sig ud
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.
Produktdetaljer
| 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 Weight | 0.6 lbs (270 grams) |
Hvem bør købe?
-
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.
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Absolute Beginners
Those with no prior programming experience may find the content too advanced without foundational knowledge.
Produktbeskrivelse
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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Is prior programming experience necessary to understand this book?
svar: No prior experience is required, although basic programming understanding is helpful. -
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What kind of projects will I be able to undertake after reading this book?
svar: You will be able to work on real-world projects, including image processing challenges and machine learning applications in computer vision. -
spørgsmål:
Who is this book intended for?
svar: It is designed for beginners, tech enthusiasts, students, and anyone interested in pursuing a career in AI and computer vision.
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DKK 203
Dette produkt er ikke færdigbehandlet af Ubuy og kan tage mindst 10 dage at levere. Vi annullerer eventuelt produktet fra ordren og tilbagebetaler købet, hvis der opstår problemer med leveringen af dette produkt.
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Egenskaber og fordele
- 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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