Manuel Amunategui, VP of Data Science at SpringML presented on the topic “Convolutional Neural Networks And Unconventional Data – Predicting The Stock Market Using Images” during the Global Artificial Intelligence Conference in Santa Clara last week.
Synopsis:
“This is about taking numerical data, transforming it into images and modeling it with convolutional neural networks. In other words, we are creating synthetic image-representation of quantitative data, and seeing if a CNN brings any additional modeling understanding, accuracy, a boost via ensembling, etc. CNN’s are hyper-contextually aware – they know what’s going on above, below, to the right and to the left, even what is going on in front and behind if you use image depth.”
Slide deck– Presented during the session. More information here.
