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Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy,
ZAR 778
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Develop strong grip on the fundamentals of Image Processing and Image Manipulation.
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Product Details
| Item Weight | 0.5 lbs (230 grams) |
Who Should Buy?
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Aspiring Developers
Individuals eager to learn digital image processing techniques using Python libraries like Numpy and Pytorch.
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Data Science Enthusiasts
Those interested in enhancing their skills in data analysis and machine learning through practical image processing applications.
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Academics and Researchers
Students or professionals conducting research that involves advanced image processing challenges in their projects or studies.
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Beginners in Python
Complete newcomers to Python programming may find the content too advanced without foundational knowledge.
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Casual Learners
Individuals looking for light overviews rather than in-depth problem-solving techniques may not find it engaging.
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Non-Technical Users
Users without a technical background or interest in coding may struggle to apply the learned concepts effectively.
Product Description
Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition)
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Pros
- Comprehensive coverage of topics
- Hands-on practical exercises
- Clear explanations and examples
- Suitable for all skill levels
- Real-world applications discussed
Cons
- Some sections could use more depth.
Product Price History
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ZAR 778
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Features & Benefits
- Over 50 image processing problems are addressed with classical algorithms and ML/DL models.
- Practical usage of popular Python libraries like Numpy, Scipy, and scikit-image.
- Comprehensive coverage of facial image processing techniques using deep learning.
- Hands-on approach to solving geometric transformations and image enhancement.
- Ideal for computer vision users, machine learning engineers, and image processing experts.
- End-to-end solutions for modern image processing challenges.