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Focusing on practical applications, this book guides readers through the essentials of machine learning, covering everything from foundational concepts to advanced topics like NLP transformers and multimodal models. With a hands-on approach, it incorporates best practices and real-world examples, utilizing popular frameworks such as PyTorch, TensorFlow, scikit-learn, and pandas, making complex ideas accessible for learners and practitioners alike.
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Python Machine Learning By Example - Fourth Edition, Yuxi (Hayden) Liu
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- Pubblicato
- 2024
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