There is a long list of possible platforms or libraries that you can use, but here I want to focus on some of the most common. Machine learning platforms are useful because they help reduce the complexity needed to get started. The downside is the lack of flexibility because you need to adapt to their features and options, therefore making it difficult to fit with specific problems in your project. Just as developers use software libraries in their usual work, with deep learning it is no different. A library is simply a set of functions that are pre-made by a development team.

Machine learning has tremendous potential to help organizations create powerful and unique customer experiences, as well as make better and more informed decisions. So in October 2016 we conducted a survey to find out what is the state of machine learning and artificial intelligence. Download the infographic to discover some of the highlights.