Tuesday, 7 April 2020
Machine Learning Challenges: Choosing the Best Classification Model and Avoiding Overfitting
Austmine Limited

Machine Learning Challenges: Choosing the Best Classification Model and Avoiding Overfitting

Modeling with machine learning is a challenging but valuable skill for anyone working with data. No matter what you use machine learning for, chances are you have encountered a modeling or overfitting concern along the way.

This white paper shows how can overcome these challenges, including how to choose the right classification model for your data and how to avoid and correct for overfitting. Finally, you’ll see how much easier these tasks can be when you use MATLAB®.

Download this white paper to learn how to:

  • Develop classification models
  • Use the MATLAB Classification Learner app
  • Apply regularization techniques
  • Perform cross-validation in MATLAB
Image
Print
1110
Previous Article Webinar Recording: Mining's Next Horizon Series Part 2 - Disruptive Innovation Driving Smarter Mining
Return
Next Article Austmine Annual Review 2018

Theme picker

Austmine Programs

All Programs

Austmine Publications

All Publications

GET SOCIAL

SUBSCRIBE to our newsletter

Loading

Austmine

 

OZ METS Hub

WonderWebs.comTerms|Privacy|Copyright © 2020 Austmine | Mining Equipment, Technology and Services (METS) Sector
Back To Top