It is goal-oriented learning that is based on interaction with the
environment.

Many real practical problems fall into this machine learning
category where you have little labeled data, and the rest of the
data is unlabeled

Input data (also known as training examples) comes with a
label, and the goal of learning is to predict the label for new,
unforeseen examples

Reinforcement learns through

Labeling data is an inexpensive or time-consuming process.
Besides, it mandates having domain experts to label data
accurately.

The goal of ..... is to detect patterns in the
data.

in Reinforcement Learning As the system performs specific actions, it finds out more
about the world

in Reinforcement Learning The algorithm discovers an association between the goal and
the sequence of events that lead to a successful outcome

... algorithm analyzes the training data
and produces an inferred function, which can be used for
mapping new examples

predicting a continuous quantity

predicting a discrete class label

One of the most popular types of....... is
clustering algorithms

One of the most popular types of Unsupervised Learning is
..... algorithms

The problems solved using supervised learning are grouped into

Bioinfomatics consists of