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Python Machine Learning By Example - Fourth Edition
Unlock machine learning best practices with real-world use cases
Authors
518 pages
More about the book
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.
Book variant
2024, paperback
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