Foundations of Machine Learning

Machine-learning-assisted materials discovery using failed experiments

Paul Raccuglia, Katherine C. Elbert, Philip Adler

Comparing different supervised machine learning algorithms for disease prediction

Shahadat Uddin, Arif Khan, Md Ekramul Hossain

Machine learning for medical diagnosis: history, state of the art and perspective

Igor Kononenko

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Tianqi Chen, Mu Li, Yutian Li

Adaptive Computation and Machine Learning

Machine learning algorithm validation with a limited sample size

Andrius Vabalas, Emma Gowen, Ellen Poliakoff

Efficient and robust automated machine learning

Matthias Feurer, Aaron Klein, Katharina Eggensperger et al.

An Introduction to Machine Learning

Miroslav Kubát

Combining satellite imagery and machine learning to predict poverty

Neal Jean, Marshall Burke, Sang Michael Xie

Machine Learning: An Algorithmic Perspective

Stephen Marsland

Pattern Recognition and Machine Learning

Thomas Burr