Archives

Machine learning was limited for a long time by its inability to process raw data. For decades, machine learning had a great dependency in features engineering that transformed raw data (for example, pixels values from an image) into an internal representation or feature vector from which the learning subsystem, often a classifier, could detect or […]

As showed in the last post, machine learning is great for pattern recognition. But it’s getting so much powerful that can be used in much more areas than only pattern recognition, such as: Drug Discovery and toxicology Discovering new treatments for human diseases is one of the most complicated tasks that exist. A new compound […]