Neural Networks

Deep Learning:

• Deep Learning enables software to train itself to perform tasks with vast amounts of data.

• Machines with Deep Learning are intelligent enough to develop algorithms for themselves.

• In deep learning, the machine is trained with huge amounts of data which helps it to train itself around the data. Such machines are intelligent enough to develop algorithms for themselves.

Machine Learning:

• If a Machine can improvise it is at par with Human Intelligence.

• The machine learns from its mistakes and takes them into consideration. It improvises using its own experiences.

• Machine Learning enables machines to improve at tasks with experience.

Artificial Intelligence:

• Artificial Intelligence refers to any technique that enables computers to mimic human intelligence.

• AI-enabled machines think algorithmically and execute what they have been asked for, intelligently.

• A machine will automatically mimic human intelligence.

Most advanced form of Artificial Intelligence is:

• Deep Learning is the most advanced form of Artificial Intelligence.

• Artificial Intelligence covers all the concepts and algorithms which, in some way or the other mimic human intelligence.

• Machine learning is the most advanced form of Artificial Intelligence.

Decision Trees:

• All data holds importance while developing the Decision Tree.

• The beginning point of any Decision Tree is known as its Root.

• Decision Trees is a rule-based AI model which helps the machine in predicting what an element is with the help of various rules.

Which of the following are the Rule-based AI models?

• Regression

• Clustering

• Classification

• K-Nearest Neighbor