Types of Machine Learning | Analytics Steps
We have been discussing the latest technologies in our blogs. Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, the Internet of Things, and many other technologies are being leveraged by businesses.
All these technologies work together to make our lives easier. Isn’t it fascinating when we can switch off our lights without needing to step out of the bed? This is just one of the many conveniences which have been made possible with the help of technology. Machines are on their way to become more intelligent and efficient.
Also Read: Information Technology, its functions and why is it important?
Machine learning is the technology that is concerned with teaching computers different algorithms to perform different tasks, and making machines capable of taking care of themselves.
Different ideas are framed and fed to machines. There are mainly three recognized categories of framing ideas, which we reckon as the three types of machine learning.
Machine Learning
Machine Learning (ML), is simply the field of study that deals with teaching computer programs and algorithms to keep improving on a particular task.
Machines make use of insights extracted from data. In a world where machines complete most of the tasks, they need to learn how things are done and also anticipate. This is where machine learning steps in. It teaches machines to learn on their own and make predictions based on previous insights.
“Machine Learning is the science of getting computers to learn and act like humans do, and improve their learning over time in an autonomous fashion, by feeding them data and information in the form of observations and real-world interactions.”
- Emerj, The AI Research and Advisory company
Machine Learning is a part of artificial intelligence that aims at feeding computers or machine learning systems knowledge through data, observations, and interactions with the surroundings. There are different ways of doing it that we will explore in this blog.
3 types of Machine Learning
In times of excessive use of artificial intelligence and machine learning, it becomes necessary to differentiate the types of machine learning. As everyone perceives everything differently, for an average computer user, this can be about the exhibition of these different types of ML in several applications.
While for a programmer, who is creating such applications, it is essential to know about the different types of ML so that they can create a proper learning environment, and also understand the purpose of creating such applications.
The three major recognized categories of machine learning are: supervised learning, unsupervised learning, and reinforcement learning.
Recommended Blog: What is Confusion Matrix
To read the complete blog, click on the link below
Originally published at https://www.analyticssteps.com on January 5, 2021.
