In recent years, the password to get into the club of the “cool kids” in technology has been Artificial Intelligence, also referred to as AI by the “it” group. AI has grown greatly in popularity and application with Geo Gecko also recently jumping on the train by starting to work on some Machine learning models which are a subset of the great AI. We have been building models to identify different crops using sentinel 1 and sentinel 2 images. This work has given us a front row seat in the implementation of the much-glorified machine learning algorithms. It is from this position that we are able to discuss our insights in regard to how “intelligent” this subset of artificial intelligence really is. Also having experienced the non-romantic side of machine learning (spoiler alert) which is data accessing, cleaning and preprocessing, we will discuss these in depth, alongside the break throughs we made to overcome them, and the recommendations that we have for the newbies. We intend for this talk to give ML enthusiasts a quick dose of reality so that they can take off the training wheels and get to know what really happens in Machine Learning.