Machine Learning for Biomedical Applications is popular PDF and ePub book, written by Maria Deprez in 2023-09-12, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning for Biomedical Applications can be Read Online from any device for your convenience.
Machine Learning for Biomedical Applications Book PDF Summary
Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch presents machine learning techniques most commonly used in a biomedical setting. Avoiding a theoretical perspective, it provides a practical and interactive way of learning where concepts are presented in short descriptions followed by simple examples using biomedical data. Interactive Python notebooks are provided with each chapter to complement the text and aid understanding. Sections cover uses in biomedical applications, practical Python coding skills, mathematical tools that underpin the field, core machine learning methods, deep learning concepts with examples in Keras, and much more. This accessible and interactive introduction to machine learning and data analysis skills is suitable for undergraduates and postgraduates in biomedical engineering, computer science, the biomedical sciences and clinicians. Gives a basic understanding of the most fundamental concepts within machine learning and their role in biomedical data analysis Shows how to apply a range of commonly used machine learning and deep learning techniques in biomedical problems Develops practical computational skills that are needed to manipulate complex biomedical data sets Shows how to design machine learning experiments that address specific problems related to biomedical data
Detail Book of Machine Learning for Biomedical Applications PDF
- Author : Maria Deprez
- Release : 12 September 2023
- Publisher : Academic Press
- ISBN : 9780128229057
- Genre : Computers
- Total Page : 306 pages
- Language : English
- PDF File Size : 9,9 Mb
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