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- | ====== Computer Science ====== | ||
- | |||
- | - University Courses | ||
- | - Data Science | ||
- | - Tutorials | ||
- | - Machine Learning | ||
- | - Tutorials | ||
- | - ML with Ruby - Learning, implementing, and applying Machine Learning using Ruby. | ||
- | - Core ML Models - Models for Apple's machine learning framework. | ||
- | - Speech and Natural Language Processing | ||
- | - Spanish | ||
- | - NLP with Ruby | ||
- | - Linguistics | ||
- | - Cryptography | ||
- | - Computer Vision | ||
- | - Deep Learning - Neural networks. | ||
- | - TensorFlow - Library for machine intelligence. | ||
- | - Papers - The most cited deep learning papers. | ||
- | - Education | ||
- | - Deep Vision | ||
- | - Open Source Society University | ||
- | - Functional Programming | ||
- | - Static Analysis & Code Quality | ||
- | - Information Retrieval - Learn to develop your own search engine. | ||