617-384-9091
iacs-info@seas.harvard.edu
Friday, January 13, 2017
12:00 PM - 2:30 PM
During the last two years, the Wolfram Language has introduced a set of machine learning functionalities including user-friendly functions to perform classification, extracting features, clustering data, etc., and a high-performance neural network framework. In this class we’ll present an overview of these functionalities and you’ll learn to use them through hands-on examples.
Pre-requisites:
Basic knowledge of Mathematica is helpful, but not required. Please create a Wolfram ID and download a free 15 day trial of Mathematica BEFORE CLASS: https://www.wolfram.com/mathematica/trial/
Hands-on activities will be performed in class online at: https://develop.open.wolframcloud.com/app/