Introduction to Machine Learning

Is the science of training machines to perform human tasks.

• Reasoning

• Artificial intelligence

• Machine Learning

Making inferences based on data

• Reasoning

• Planning

• Classification

Understanding both written text and human speech

• Natural Language Processing

• Machine learning

• Artificial intelligence

Acting autonomously and flexibly to construct a sequence of actions to reach a final goal

• Planning

• Natural Language Processing

• Reasoning

Is a form of artificial intelligence that enables a system to learn from data, identify patterns, and make decisions with minimal human intervention.

• Machine learning

• Reasoning

• Classification

Classifying an item into a distinct set of categories

• Classification

• Clustering

• Prediction

Grouping items with common properties (Ex. Facebook suggesting people to add in a group)

• Clustering

• Prediction

• Classification

Forecasting future values (Ex. Demand for products around holiday season)

• Prediction

• Classification

• Clustering

The output generated when you train your machine learning algorithm with data.

• Machine learning model

• Supervised Learning

• Unsupervised learning

Predicting the values of a continuous variable

• Regression

• Classification

• Action