Unlock the Power of Machine Learning for Biomedical Applications

Discover the practical guide to machine learning techniques specifically designed for biomedical settings. “Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch” by Maria Deprez presents a hands-on approach to learning, focusing on real-world examples and interactive Python notebooks to aid understanding.

Get Ready to Tackle Biomedical Challenges with Machine Learning

This comprehensive book covers a range of essential topics, including:

• The most commonly used machine learning techniques in biomedical applications
• Practical Python coding skills to implement machine learning models
• Mathematical tools that underpin the field of machine learning
• Core machine learning methods and deep learning concepts with examples in Keras
• Designing machine learning experiments to address specific biomedical problems

Whether you’re an undergraduate or postgraduate student in biomedical engineering, computer science, the biomedical sciences, or a clinician, this book provides an accessible and interactive introduction to machine learning and data analysis skills.

Develop Practical Skills to Drive Biomedical Breakthroughs

This book will help you:

• Gain a basic understanding of fundamental machine learning concepts and their role in biomedical data analysis
• Apply machine learning and deep learning techniques to biomedical problems
• Develop practical computational skills to implement machine learning and deep learning models for biomedical data sets
• Design machine learning experiments that address specific problems related to biomedical data

Stay ahead in the rapidly evolving field of biomedical machine learning with this essential guide.

Product Details:

• Publisher: Elsevier Science
• Publication Date: September 7, 2023
• Language: English
• ISBN: 9780128229040, 9780128229057