MACHINE LEARNING

APPLICATION OF SUPERVISED LEARNING

ARTIFICIAL INTELLIGENCE

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
How does an AI device learn and think?
A
It hacks our computer
B
It accepts data and trains itself, then creates a model
C
It hacks our brain
D
None of the above
Explanation: 

Detailed explanation-1: -AI adapts through progressive learning algorithms to let the data do the programming. AI finds structure and regularities in data so that algorithms can acquire skills. Just as an algorithm can teach itself to play chess, it can teach itself what product to recommend next online.

Detailed explanation-2: -It learns from itself as more data is fed to it, like machine learning algorithms. However, deep learning algorithms function differently when it comes to gathering information from data. Similar to unsupervised machine learning algorithms, neural networks create a hidden structure in the data given to them.

Detailed explanation-3: -You collect large amounts of data, then using the methods of machine learning, algorithms learn to find inter-dependencies among these pieces of data and then reproduce this logic on every new piece of data they meet. This is what is now called AI (artificial intelligence).

There is 1 question to complete.