Explain Machine Learning, Artificial Intelligence, and Deep Learning?

It is common to get confused between the three in-demand technologies: Machine Learning, Artificial Intelligence, and Deep Learning. These three technologies, though a little different from one another, are interrelated. While Deep Learning is a subset of Machine Learning, Machine Learning is a subset of Artificial Intelligence. Since some terms and techniques may overlap with each other while dealing with these technologies, it is easy to get confused between them.

Therefore, let’s learn about these technologies in detail so that you become capable of differentiating between them:

  • Machine Learning: Machine Learning involves various statistical and Deep Learning techniques that allow machines to use their past experiences and get better at performing specific tasks without having to be monitored.
  • Artificial Intelligence: Artificial Intelligence uses numerous Machine Learning and Deep Learning techniques that enable computer systems to perform tasks using human intelligence, with logic and rules.
  • Deep Learning Deep Learning comprises several algorithms that enable software to learn from themselves and perform various business tasks, including image and speech recognition. This is possible when the systems expose their multi-layered neural networks to large volumes of data for learning.