Michigan Technological University

Machine Learning Reduces Uncertainty in Breast Cancer Diagnoses

A Michigan Tech-developed machine learning model uses probability to more accurately classify breast cancer shown in histopathology images and evaluate the uncertainty of its predictions. Breast ...
BIOENGINEER

Head-to-Head Test Shows Deep Learning Beats Classic Models Only on Breast Cancer Images

An independent evaluation in PLOS Digital Health finds that deep learning models excel at breast cancer detection from ...
CU Boulder News & Events

CSCI 5822: Probabilistic and Causal Modeling in Computer Science

For humans and machines, intelligence requires making sense of the world — inferring simple explanations for the mishmosh of information coming in through our senses, discovering regularities and ...
US Geological Survey

Detection probability and bias in machine-learning-based unoccupied aerial system non-breeding waterfowl surveys

Authors Reid Viegut, Elisabeth B. Webb, Andrew Raedeke, Zhicheng Tang, Yang Zhang, Zhenduo Zhai, Zhiguang Liu, Shiqi Wang, Jiuyi Zheng, Yi Shang ...
BIOENGINEER

Machine Learning Leads Soil Mapping Race, but No Single Model Wins Everywhere

A first-of-its-kind systematic review of 190 studies finds that HASM, Euclidean-enhanced machine learning, and Bayesian ...
Times Higher Education

Doctoral Researcher in Probabilistic Machine Learning

Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative ...

5 Practical Books for Python Machine Learning

Introduction I first started working with machine learning in earnest when I took on a small project to classify internal inquiry logs. I managed to get scikit-learn code running by piecing together ...