Master Machine Learning for Biomedical Applications with Scikit-Learn and PyTorch

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.

A Hands-on Approach to Learning Machine 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.

Covering the Essential Topics in Biomedical Machine Learning

The book covers a wide range of topics, including:

• Practical applications of machine learning in biomedical settings
• Developing essential Python coding skills for machine learning
• Mathematical tools that underpin the field of machine learning
• Core machine learning methods and their biomedical applications
• Deep learning concepts with examples in Keras and PyTorch

Who is This Book For?

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.

Key Takeaways

By reading this book, you will gain:

• A basic understanding of fundamental machine learning concepts and their role in biomedical data analysis
• The skills to apply a range of commonly used machine learning and deep learning techniques to biomedical problems
• Practical computational skills needed to implement machine learning and deep learning models for biomedical data sets
• The knowledge to design machine learning experiments that address specific problems related to biomedical data

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.