Source: Deep Learning on Medium
When you browse through your Netflix account, you often come across the “Top picks for you” section. These shows are similar to the shows which you watch on Netflix. Have you ever wondered how this stuff works?
Netflix uses machine learning and algorithms to help break viewers’ preconceived notions and find shows that they might not have initially chosen. More than 80 percent of the TV shows people watch on Netflix are discovered through the platform’s recommendation system. That means the majority of what you decide to watch on Netflix is the result of decisions made by a mysterious, black box of an algorithm.
People often get confused and treat Artificial Intelligence, Machine learning, and Deep learning as the same thing. Let’s understand the difference between these things.
Artificial Intelligence makes computer intelligent in order to mimic the coordinate function of humans. So, Artificial Intelligence is a general field with broad scope including computer vision, language processing, creativity, and summarization.
Machine learning is the branch of Artificial Intelligence which covers the statistical part of Artificial Intelligence. It teaches the computer to solve a by looking hundreds and thousands of problem, learning from them and then solving the same problem at new condition.
Deep learning is a very special field of machine learning where computers can actually learn and make a decision of their own. Deep learning involves deeper level automation in comparison with most machine learning algorithms.