by-nc-sa

https://editorialia.com/wp-content/uploads/2020/06/undergraduate-diagnostic-imaging-fundamentals.jpg

Undergraduate Diagnostic Imaging Fundamentals

The structure and content of this work has been guided by the curricula developed by the European Society of Radiology, the Royal College of Radiologists, the Alliance of Medical Student Educators in Radiology, with guidance and input from Canadian Radiology Undergraduate Education Coordinators, and the Canadian Heads of Academic Radiology (CHAR).

https://editorialia.com/wp-content/uploads/2020/06/cover-interpretable-machine-learning-1.jpg

Interpretable Machine Learning (A Guide for Making Black Box Models Explainable)

The book focuses on machine learning models for tabular data (also called relational or structured data) and less on computer vision and natural language processing tasks. Reading the book is recommended for machine learning practitioners, data scientists, statisticians, and anyone else interested in making machine learning models interpretable.

https://editorialia.com/wp-content/uploads/2020/06/dive-into-deep-learning.jpg

Dive into Deep Learning

“We set out to create a resource that could (i) be freely available for everyone; (ii) offer sufficient technical depth to provide a starting point on the path to actually becoming an applied machine learning scientist; (iii) include runnable code, showing readers how to solve problems in practice; (iv) allow for rapid updates, both by us and also by the community at large; and (v) be complemented by a forum for interactive discussion of technical details and to answer questions”.

https://editorialia.com/wp-content/uploads/2020/06/guideline-for-ai-for-medical-products.jpg

Guideline for AI for medical products

The objective of this guideline is to provide medical device manufacturers and notified bodies instructions and to provide them with a concrete checklist to understand what the expectations of the notified bodies are, to promote step-by-step implementation of safety of medical devices, that implement artificial intelligence methods, in particular machine learning, to compensate for the lack of a harmonized standard (in the interim) to the greatest extent possible.

https://editorialia.com/wp-content/uploads/2020/06/advanced-r.jpg

Advanced R

Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special. This book will teach you the foundations of R; three fundamental programming paradigms (functional, object-oriented, and metaprogramming); and powerful techniques for debugging and optimising your code.