[Review]: Machine Learning Neural Python

[gperu]

Lesson Title

Introduction to artificial neural networks in Python

Lesson Repository URL

https://github.com/carpentries-incubator/machine-learning-neural-python

Lesson Website URL

https://carpentries-incubator.github.io/machine-learning-neural-python/

Lesson Description

This lesson gives an introduction to artificial neural networks. We begin by an outlining an important application of machine learning in healthcare: the development of algorithms for classification of chest X-ray images. During the lesson we explore how to prepare and visualise data for algorithm development, and construct a neural net that is able to classify disease.

Author Usernames

@tompollard

Zenodo DOI

No response

Differences From Existing Lessons

No response

Confirmation of Lesson Requirements

• [X] is the original work of the author(s), or that any content derived from another source is reused with permission and appropriate attribution
• [X] aligns with The Carpentries Code of Conduct
• [X] is published under a CC-BY or CC0 license
• [X] uses The Carpentries lesson template or Carpentries Workbench without significant customisation/adaptation.

JOSE Submission Requirements

• [ ] the lesson repository includes paper.md and paper.bib files as described in the JOSE submission guide for learning modules

Potential Reviewers

No response

[tobyhodges]

Thank you for submitting this lesson for review, @gperu.

My capacity for managing lesson reviews is quite limited at the moment and I will not be able to handle reviews of all of your submitted lessons simultaneously. If you have a preference for which lesson(s) you would like us to prioritise for review, please let me know and I will do my best to focus on that/those first.