You’ve probably seen recent technology news relating to Machine Learning, Deep Learning, and AI. Disruptive technologies are emerging at a faster rate than ever before. With hardware such as Graphic Processing Units computers are now able two work with larger data sets than ever before offering them the opportunity to “learn”. This learning is described with three different terms that are often used interchangeably but shouldn’t be, there is particularly much confusion in regards to Machine Learning vs Deep Learning. Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (ML) are the terms.
What is Machine Learning?
Machine Learning consists of training machines to learn through asking a series of yes / no or true / false style questions. Eventually the machine will be able to learn your preference or provide suggestions, such as auto-correct.
What is Deep Learning?
Deep Learning consist of processes considered neural networks that analyze vast sets of data in order to learn to do tasks.
What is Artificial Intelligence?
Artificial Intelligence comprises both ML and DL. One can say that any method or processed utilized to train a machine to learn can be considered Artificial Intelligence.
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With the ability to consider vast data sets, Deep Learning offers even more accurate predictions both in what customers want as well as customer behavior. By computing larger amounts of data than a human could, Deep Learning algorithms may be able to predict what a customer wants even before they know it.
Companies like Google and Amazon are aggressively pursuing chatbots to engage with customers. Chat bots use AI to derive meaning from speech and text and can take those companies to the next level in customer service.
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