Nature

Comprehensive study on the Python-based regression machine learning models for prediction of uniaxial compressive strength using multiple parameters in Charnockite rocks

Rocks and their structures require careful planning to prevent loss of life and economic damage from human error. In civil engineering, mining, cave mining, tunneling ...
Nature

Machine-learning-based predictions of imprinting quality using ensemble and non-linear regression algorithms

The alternative text for this image may have been generated using AI. The supervised learning is a popular method that widely used in ML. A supervised learning algorithm finds the relationship between ...
CU Boulder News & Events

CSCA 5622: Introduction to Machine Learning: Supervised Learning

Work you complete in the non-credit experience will transfer to the for-credit experience when you upgrade and pay tuition. See How It Works for details. A previous version of Machine Learning: Theory ...
CU Boulder News & Events

DTSA 5509 Introduction to Machine Learning: Supervised Learning

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...