In our previous blog post, we discussed the importance of data cleansing and pre-processing for making sure that our machine learning methods work correctly. After applying all the necessary cleansing tools, we end up with a validated, structured data set without any aberrant data that may otherwise negatively affect our training. However, applying data cleansing […]

In recent years, the amount of data being generated has increased considerably. Today, in just one second, almost 9,000 tweets are posted, more than 900 photos are uploaded to Instagram, more than 80,000 Google searches are performed and nearly 3 million emails are sent. This simply proves that we’re generating a huge amount of information […]

In previous blog posts, we’ve learnt about Artificial Intelligence, Computer Vision, Machine Learning and, more specifically, Deep Learning. In this article, we’re going to look at one of the main signs indicating that a project requires the use of Machine Learning. Business logic based on excessive rules and/or conditions One of the main symptoms of […]

The boom in recent years of Machine Learning techniques in Artificial Intelligence prompted the brief introduction in our previous post to artificial neural networks and how to train them to obtain valuable information. In this post, we will analyse in a little more detail what is actually involved in training these types of networks. Backpropagation […]