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Data Science Algorithms in a Week: Top 7 algorithms for computing, data analysis, and machine learning
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3.33 avg rating — 6 ratings
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| 2 |
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Keras 2.x Projects: 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
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really liked it 4.00 avg rating — 2 ratings
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| 3 |
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Scikit-Learn Cookbook: Over 80 Recipes for Machine Learning in Python with Scikit-Learn
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4.50 avg rating — 2 ratings
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| 4 |
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Machine Learning for OpenCV 4: Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn, 2nd Edition
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liked it 3.00 avg rating — 1 rating
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Natural Language Processing with Python Quick Start Guide: Going from a Python developer to an effective Natural Language Processing Engineer
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it was amazing 5.00 avg rating — 2 ratings
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Qt 5 and OpenCV 4 Computer Vision Projects: Get up to speed with cross-platform computer vision app development by building seven practical projects
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4.67 avg rating — 3 ratings
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| 7 |
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Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras
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4.26 avg rating — 19 ratings
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OpenCV 4 Computer Vision Application Programming Cookbook: Build complex computer vision applications with OpenCV and C++, 4th Edition
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4.33 avg rating — 3 ratings
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| 9 |
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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real time using GPUs
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3.50 avg rating — 6 ratings
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Hands-On Algorithms for Computer Vision: Learn how to use the best and most practical computer vision algorithms using OpenCV
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it was amazing 5.00 avg rating — 1 rating
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| 11 |
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Hands-On Computer Vision with Julia: Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence
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3.50 avg rating — 4 ratings
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| 12 |
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Computer Vision with Opencv 3 and Qt5: Build Visually Appealing, Multithreaded, Cross-Platform Computer Vision Applications
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4.57 avg rating — 7 ratings
"newer ed included in bundle has additional ratings of 4 and 5 and a review"
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| 13 |
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OpenCV 4 for Secret Agents: Use OpenCV 4 in secret projects to classify cats, reveal the unseen, and react to rogue drivers, 2nd Edition
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0.00 avg rating — 0 ratings
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| 14 |
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Mastering OpenCV 4: A comprehensive guide to building computer vision and image processing applications with C++, 3rd Edition
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really liked it 4.00 avg rating — 1 rating
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| 15 |
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Hands-On Image Processing with Python: Expert techniques for advanced image analysis and effective interpretation of image data
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4.12 avg rating — 8 ratings
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| 16 |
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Natural Language Processing with Java Cookbook: Over 70 recipes to create linguistic and language translation applications using Java libraries
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0.00 avg rating — 0 ratings
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| 17 |
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Natural Language Processing with Java: Techniques for building machine learning and neural network models for NLP, 2nd Edition
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0.00 avg rating — 0 ratings
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| 18 |
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Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications
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4.33 avg rating — 3 ratings
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| 19 |
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Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras
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4.60 avg rating — 5 ratings
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| 20 |
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Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library
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4.38 avg rating — 13 ratings
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