Introduction to AI, ML and DL

What is AI?

AI stands for Artificial Intelligence. Artificial Intelligence is a branch of study which focuses on understanding and developing Machines which think, learn and act like human. These type of machines can help solve problems, learn and explain information, analyze a situation and draw conclusion to it.

What is ML?

ML stands for Machine Learning. Machine Learning are the model and algorithms which help a machine learn new things. ML algorithms are algorithms which are used to train a model for future use.

What is DL?

DL stands for Deep Learning. Deep Learning is a subfield of ML which uses neutral networks to make a machine understand and process like human brain.

Type of ML models

• Based on the training and test data set there are ML models get divided into 3 categories
  • Overfitting → Training Data set too big, Test Data set too small.
  • Underfitting → Training Data set too small, Test Data set too big.
  • Optimal → Training Data set normal, Test Data set normal.

Overfitting

• Model with too high accuracy and hard approach are called overfitting algorithms.
• These algorithms try to cover all the possibility.
• This type of model has low bais and high or very high variance.
• The behaviour of the overfitting model can be represented by the following graph.

Underfitting

• Underfitting models have very low accuracy.
• This type of model doesn’t capture the underlying trend of the data.
• This type of model has high or very high bais and low variance.