Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

Mathematica 11 Machine Learning

via LinkedIn Learning

Go to class Write review

This course may be unavailable.

Coursera Ad

Get Coursera Plus for 40% off

Learn More → Boot.dev Ad

The Most Addictive Python and SQL Courses

Learn More →

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Get started with machine learning. Learn how to separate training data from test data, prepare data for machine learning, perform supervised machine learning tasks, and more.

Syllabus

Introduction
  • Welcome
  • What you should know
  • Exercise files
1. Introducing Machine Learning
  • Overview of machine learning tasks
  • Separate training data from test data
  • Import data from a file
2. Preparing Data for Machine Learning
  • Standardize (normalize) or rescale data
  • Replace values near zero with zero
  • Interpolate data to enter missing values
  • Count values by adherence or non-adherence to a rule
  • Group elements using a rule
  • Sort elements using a rule
3. Determining Functions that Generate Data
  • Find a fit using a linear model
  • Find a time series that fits given data
  • Find a formula that represents a data set
  • Find a function that generates a given sequence of values
4. Performing Supervised Learning Tasks
  • Calculate the logistic sigmoid function for a data set
  • Classify items using training data
  • Predict values using training data
  • Measure classifier function performance
  • Measure predictor function performance
  • Identify data clusters
Conclusion
  • Next steps

Taught by

Curt Frye

Reviews

4.3 rating at LinkedIn Learning based on 21 ratings

Start your review of Mathematica 11 Machine Learning

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.