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6th Feb 2024
6:00 - 7:30pm (GMT)
Online event
This event has ended. Similar events
Free
ONLINE & IN PERSON

Description

Interested in trying out some machine learning? Want to learn how to use python to implement data science techniques using real-world medical datasets?

Join us online (Zoom details below) where we’ll start with some python and AI basics. We'll have a practical lab where you can gain hands-on experience in relevant and useful skills for undergraduate healthcare research!

This session, we'll be trying out some machine-learning techniques, like linear and logistic regression, using real drug trial data in a practical lab with your own coding workbook!

In-person location: 40 George Square, room 1.01, University of Edinburgh

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Join Zoom Meeting

https://ed-ac-uk.zoom.us/j/82482305177

Meeting ID: 824 8230 5177

Passcode: 7debWZSd

Summary

The "Introduction to Machine Learning" session allows medical professionals to learn Python and AI basics, using real-world medical datasets. Participants will gain hands-on experience with machine learning techniques such as linear and logistic regression and will use real drug trial data in a practical lab. The session is perfect for anyone interested in healthcare research and data science techniques. The event will be held at the University of Edinburgh, but there’s also an opportunity to attend online via Zoom.

Generated by MedBot

Learning objectives

  1. Gain a basic understanding of machine learning concepts and how they can be applied in the field of healthcare.
  2. Be able to apply Python programming for machine learning and data science, utilizing actual medical datasets.
  3. Obtain hands-on experience in using machine learning techniques such as linear and logistic regression.
  4. Apply these techniques to real-world data from drug trials to gain practical understanding.
  5. Enhance their skills in undergraduate healthcare research by using machine learning tools to analyze data and draw conclusions.
Generated by MedBot
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6th Feb 2024
6:00 - 7:30pm (GMT)
Online event
This event has ended. Similar events
Free
ONLINE & IN PERSON