Making Machine Learning Accessible: 3 Ways Entrepreneurs Can Apply It Today

Unlike traditional models, which require specific rules and feature sets to extract meaning from data, deep learning models autonomously draw conclusions and create their own classification rules from unstructured data. Given enough time and data, deep learning models can make sense of virtually any unstructured data set. Now, thanks to the 2.5 quintillion bytes produced per day -- much of it publicly available via Google and YouTube -- and massive improvements in cloud computing technology, deep learning isn't just viable -- it's inevitable, and it's profitable. It uses a four-pronged approach, including data crawling, natural language processing, machine learning and artificial intelligence, to help business leaders optimize prospect data and sell more efficiently.