Ai (Artificial Intelligence)
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Ai is essentially the ability to get machines to think. Artificial intelligence has a beginning that goes back to the 1950’s. But I must stress Ai has an old school and a new school. The old school is very rule based. This type of Ai is not much of what is being done today and not at all what I am focusing on at the present.
Data science overlaps Ai and ML (machine learning). It is the area of understanding data. DS (data science) ask the question what does this data mean and how can we best visualize the understood data. Therefore in data science there is a use of visual aid to understand data.
Machine learning is what I would describe has the first subset of Ai. ML (machine learning) is best thought as a set of statistical tools used to extract information from data to further learning or to understand what has been learned.
Deep learning is a subset of machine learning. In 2006, DL (deep learning) had begun its deep impact on the advancement of Ai. Deep learning uses multi-layer Neural Networks. We are going to get into multi-layer neural networks just to the degr