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Machine learning is revolutionizing the biomedical field, and “Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch” by Maria Deprez is the perfect guide for those looking to unlock its potential. This comprehensive book presents the most commonly used machine learning techniques in biomedical settings, providing a practical and interactive approach to learning.
Avoiding unnecessary theoretical jargon, this book focuses on short, descriptive explanations followed by simple examples using real-world biomedical data. To further enhance understanding, interactive Python notebooks are included with each chapter, allowing readers to dive deeper into the concepts and experiment with the code.
The book covers a wide range of topics, including:
This accessible and interactive introduction to machine learning and data analysis is suitable for undergraduates and postgraduates in biomedical engineering, computer science, biomedical sciences, and clinicians looking to gain a solid understanding of machine learning concepts and their role in biomedical data analysis.
By reading this book, you will gain:
Published by Elsevier Science, “Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch” is an indispensable resource for anyone looking to unlock the power of machine learning in the biomedical field. With its unique blend of practical examples, interactive notebooks, and comprehensive coverage of essential topics, this book is a must-have for students, researchers, and professionals alike.
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