Using q in Machine Learning with Neural Network and Clustering Examples
4 Apr 2017
Tokyo-based kdb+ programmer, and algorithmic quantitative analyst, Mark Lefevre recently gave a couple of talks about using high-performance machine learning with kdb+ at the Kx Community Tokyo Meetup. His talk “Using Q to Read Japanese” focused on utilizing neural networks and how supervised learning can be used in q to teach a machine to recognize Japanese characters from handwritten images. His second talk, “Kx for Wine Tasting” focused on utilizing the k-means clustering algorithm and unsupervised learning in q to teach a machine to appreciate wine!