Machine Learning Algorithms

Machine Learning Algorithms

that can learn is a form of artificial intelligence. Unlike human intelligence, machine learning is based exclusively on which algorithms the machine programmers put in place.

There are four main types of machine learning with several different kinds of algorithms appropriate in each type. Machine learning can be supervised, unsupervised, semi-supervised, reinforcement based. With supervised learning, the programmer teaches the computer a series of facts, gives it the answer, and allows it to see the pattern and complete similar solutions in the future.

A few of the algorithms used with supervised learning are decision trees, linear regression, and neural networks. With unsupervised learning, the programmer gives the computer a set of data and allows it to make it’s own predictions and uses algorithms like Association rules.

Unsupervised learning can pull up patterns that weren’t obvious to the researchers involved. Semi supervised falls somewhere in between, and reinforcement learning allows the computer to decide which is the best path forward based on the “reward” feedback it receives. Reinforcement uses algorithms such as Q-Learning, Temporal Difference, and Deep Adversarial Networks.

Because machine learning can be complex, it is advisable to speak with an experienced app developer to learn more about the topic.

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