Types of Machine Learning Systems
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
a. supervised,
b. unsupervised,
c. semi
supervised, and
d. Reinforcement
Learning
•
Whether or not they can learn incrementally
on the fly
a. online
learning
b. 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
a. instance-based
b. model-based
learning
These
criteria are not exclusive; you can combine them in any way you like.
· For
example, a state-of-the-art spam filter may learn on the fly using a deep
neural network model trained using examples of spam and ham;
· this
makes it an online, model based, supervised learning system.
Types of Machine Learning Systems
- Supervised/Unsupervised
Learning / Reinforcement Learning
- Batch and Online Learning
- Instance-Based Versus
Model-Based Learning
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