ML Challenge Week 3 - Supervised Learning

Types of Machine Learning Systems

There are so many different types of Machine Learning systems that it is useful to classify them in broad categories, based on the following criteria:

• Whether or not they are trained with human supervision (supervised, unsupervised, semisupervised, and reinforcement learning)
• Whether or not they can learn incrementally on the fly (online versus batch learning)
• Whether they work by simply comparing new data points to known data points, or instead by detecting patterns in the training data and building a predictive model, much like scientists do (instance-based versus model-based learning)

Supervised/Unsupervised Learning

Machine Learning systems can be classified according to the amount and type of supervision they get during training. There are four major categories:

• supervised learning
• unsupervised learning
• semisupervised learning
• reinforcement learning

Supervised Learning

In supervised learning, the training set you feed to the algorithm includes the desired solutions, called labels.