We have reached a point in our journey where we can start playing with some key applications of AI to learn why suddenly AI has gained an inflection point. We discussed some key applications of AI in Lesson 1.

we discussed how Machines learn i.e. Supervised, Unsupervised, and Reinforcement Learning. More and more companies are building products leveraging these learning techniques. But companies are not only leveraging data to teach machines but also leveraging data to learn more about the past, and the future, and make business recommendations. This is what is called Advanced Analytics.

If we say that AI is about enabling a machine to think (and act) like a human, then a question that needs to be answered is how do we determine that machine has actually started thinking like a human. The answer to this question was first answered with the introduction of the concept Turing Test.

I am sure when you complete the series, you will start looking at every problem through the lens of Machine Learning. This is what many companies or tech teams are doing. They are applying Machine learning for the sake of it. Some wise person rightly said, “When you have a hammer in your hand everything around you will appear as a nail”.

A broad field of computer science that is focused on creating thinking systems that can perform tasks that typically require human intelligence. The range of such tasks could be reasoning, problem-solving, perception, learning, language understanding, and decision-making.

Artificial Intelligence is typically seen on a spectrum of intelligence starting from Narrow intelligence (ANI), where the Machine can perform one task extremely well such as language translation, image recognition, or playing chess but it fails to generalize to other tasks. This is where we are today - ANI or Artificial Narrow Intelligence.