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Important machine learning / deep learning / Image Processing resources. blogs | courses | articles | tutorials | repositories | books | competition links
Important Machine Learning / Deep Learning / Image Processing learning resources.
Table of Contents
- Books
- Best Websites to Learn AI/ML
- Python
- OpenCV
- NumPy
- PyTorch
- Papers
- Course
- Maths
- Visualization
- AI trending news/technolgies
- People to follow on twitter
Books
Deep Learning- Ian Goodfellow, Aaron Courville, Yoshua Bengio | Deep Learning with Python - François Chollet | Grokking Deep Learning - Andrew W. Trask |
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Generative Deep Learning - David Foster | Machine Learning Yearning - Andrew Ng | Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Aurelien Geron |
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Deep Learning with PyTorch - Eli Stevens and Luca Antiga | Machine Learning: a Probabilistic Perspective - Kevin Patrick Murphy | The Hundred-Page Machine Learning Book - Andriy Burkov |
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Computer Vision: Algorithms and Applications - Richard Szeliski | Digital Image Processing - Rafael C. Gonzalez and Richard E. Woods | Programming Collective Intelligence: Building Smart Web 2.0 Applications - Toby Segaran |
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Best Websites to Learn AI/ML
- Towards Data Science
- Analytics Vidhya
- pyimagesearch
- The AI Learner
- fast.ai
- Machine Learning Mastery
- KDnuggets
- anotherdatum
- AWS ML blogs
- ML from scratch
- Learn OpenCV
- Elite data science
Python
OpenCV
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[pyimagesearch] How To Build a Kick-Ass Mobile Document Scanner in Just 5 Minutes
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[pyimagesearch] Measuring the size of objects in an image with OpenCV
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[learnopencv] Augmented Reality using ArUco Markers in OpenCV (C++ / Python)
NumPy
PyTorch
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[deeplizard] Neural Network Programming - Deep Learning with PyTorch
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[SATYA MALLICK] Multi-Label Image Classification with PyTorch
Papers
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[arxiv] UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
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[arxiv] Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Course
Maths
Visualization
Natural language processing (NLP)
- Visualizing memorization in RNNs
- An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec
- A Comprehensive Guide to Understand and Implement Text Classification in Python
- Tweet Emotions Analysis using-LSTM-Glove-RoBERTA
- Deep Learning Based Text Classification: A Comprehensive Review
AI trending news/technolgies
People to follow on twitter
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Andrew Ng | Co-Founder of Coursera, Former head of Baidu AI Group/Google Brain
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Lex Fridman | Researcher in machine learning, autonomous vehicles and human-centered AI
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Sebastian Raschka | Writer of a book on machine learning practices in Python
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Abhishek Thakur | Chief Data Scientist @ boost.ai, First 4x GM on Kaggle
Author: Sadman Kabir Soumik