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: Instructions on how to serve models across various runtimes, including embedded and mobile systems. Official GitHub Repositories ai and machine learning for coders pdf github
topic:deep-learning language:jupyter-notebook — Filters for interactive code workbooks rather than raw text files. Summary Checklist for Getting Started Recommended PDF / Book Recommended GitHub Repo AI and ML for Coders (Moroney) lmoroney/dlaicourse Algorithmic Depth Hands-On Machine Learning (Géron) ageron/handson-ml3 Mathematical Clarity Understanding Deep Learning (Prince) caosdo/UDL Multi-Framework AI Dive into Deep Learning (Zhang et al.) d2l-ai/d2l-en You have no excuse left
| Chapter | Topic | Key ML Techniques | |---------|-------|-------------------| | 1-2 | Intro to TF & ML | Linear regression, classification | | 3-4 | Computer Vision | CNNs, image augmentation | | 5-6 | NLP | Tokenization, embeddings, RNNs | | 7-8 | Time Series | LSTMs, forecasting | | 9-10 | Advanced | Transfer learning, TensorFlow Lite | Summary Checklist for Getting Started Recommended PDF /
2. Hand-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
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