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Computer Science
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AI & Machine Learning
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Neural Networks
R 1,747
Inside the Machine Learning Interview: 151 Real Questions from FAANG and How to Answer Them
R 2,519
Information Theory, Inference and Learning Algorithms
R 1,948
Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
R 4,485
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
R 2,949
Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems
R 3,129
Deep Learning: A Visual Approach
R 2,219
Make Your Own Neural Network
R 2,246
Grokking Deep Learning
R 2,289
Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT and other LLMs
R 2,289
Generative AI Application Integration Patterns: Integrate large language models into your applications
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