What is Machine Learning, and how is it different from AI?

Machine Learning is the subset of Artificial Intelligence (AI).  ML basically helps the machines to learn and adapt the features or Patterns which can help the model to make future predictions.  ML focusses on learn from the training data and make accurate decisions, prediction or forecast the analysis.  Machine learning works on three types of learning which are :

• Supervised Learning
• UnSupervised Learning
• Reinforcement Learning 

ML Uses multiple models to train the model for the prediction and analysis which are:

1. Regression models : Linear Regression, Logistic Regression, Polynomial Regression, etc.
2. Classification Model : Naive Bayes models, etc.
3. Clustering Algorithms : K-means clustering, etc.

Artificial Intelligence (AI) is basically integrates overall features which wants to make the model or machine to learn and think like a human.  AI is widely being used in Game Industries, Robotics and Automated Machineries.