Recurrent Neural Networks (RNNs)
Machine Learning for the Web: A Unified View
Large-Scale Learning and Inference: What We Have Learned with Markov Logic Networks
Extracting and Composing Robust Features with Denoising Autoencoders
Introduction to Machine Learning
Data Mining
Convolutional Neural Networks and Computer Vision
Biomedical Signal and Image Processing
Deep Control
Surrogate Assisted Optimization Methods: Recent Developments and Challenges