Machine Learning

Books available on-line

• Deep Learning, An MIT Press book, Ian Goodfellow and Yoshua Bengio and Aaron Courville

• Dive into Machine Learning

Specific subjects

• How to explain gradient boosting

• An overview of gradient descent optimization algorithms

• Notes of ours on how to practically use MVA techniques

Courses in other Universities

• Machine Learning with Graphs: a Stanford course

• Gilles Louppe's teaching pages

Scientific literature

• Daily new submission of stastics, machine learning (stat.ML) su arviv

• Daily new submission of computer science, machine learning (cs.ML) su arviv

• Keras Loss Functions: Everything You Need To Know (09/04/2021)

• Effect of batch size on training dynamics (2018)

• Don't Decay the Learning Rate, Increase the Batch Size

• Understanding Variational Autoencoders

• Better Latent Spaces for Better Autoencoders (16/04/2021)

• Autoencoders for unsupervised anomaly detection in high energy physics (16/04/2021)

• PyOD: a Unified Python Library for Anomaly Detection (19/05/2021)