Events: Details

Supervised learning part 2: classification and random forests

Category: Seminar
Description:

Topics covered in this session:

  • Classification using neural networks
  • Developing and training random forest models

Organizers: Alejandro Strachan, Saaketh Desai
Leader: Saaketh Desai

Register for this seminar

Hands-on data science and machine learning training

Is COVID-19 affecting access to your labs and slowing down experimental work? Would you like to develop new skills in data science and machine learning during this time?

If so, nanoHUB and a group of volunteer students can help. Learn how to use repositories, manage data and train models using machine learning with hands-on activities. No background in coding is required and there is no need to install any software. All you need is an internet connection and a web browser.

IMPORTANT: For the live sessions, we request everyone to sign up for a nanoHUB account and an API key from Citrination, for which we require you to sign-up to Citrination here https://citrination.com/users/sign_in and obtain the API key from the “Account settings” page.

N/A
When: Thursday 16 April, 2020, 11:00 am - 12:00 pm EDT
Contact: Saaketh Desai (desai61@purdue.edu)
Where: Online (WebEx)
Website: https://purdue.webex.com/join/desai61
Tags:
  1. classification
  2. neural networks
  3. random forests
  4. supervised learning
  5. training
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