Designing Intelligence with Brains

It is no doubt that the sub-field of machine learning / artificial intelligence has increasingly gained more popularity in the past couple of years. As Big Data is the hottest trend in the tech industry at the moment, machine learning is incredibly powerful to make predictions or calculated suggestions based on large amounts of data. Some of the most common examples of machine learning are Netflix’s algorithms to make movie suggestions based on movies you have watched in the past or Amazon’s algorithms that recommend books based on books you have bought before. Machine learning algorithms can be divided into 3 broad categories —  supervised learning, unsupervised learning, and reinforcement learning.Supervised learning is useful in cases where a property ( label ) is available for a certain dataset ( training set ), but is missing and needs to be predicted for other instances. Unsupervised learning is useful in cases where the challenge is to discover implicit relationships in a g