Here in this article today we will discuss machine learning and different types of it in a detailed and comprehensive way.
What is Machine Learning?
Machine learning is simply an application that helps computers or systems automatically learn and improve from experience without complicated programming.
It is a huge field of study that includes many related fields like artificial intelligence and, it is not specific for one or two fields only. Machine learning is used in a lot of industries and fields like prediction, classification, regression, and medical diagnosis, etc..
Different types of Machine learning.
According to my research and knowledge, we can not specify all types of learning because everyone has its own point of view. And many experts classify it into three major types and many of them go to deep study and make it a lot more complicated and explained.
Here we have a list of all kinds of machine learning we have.
- Supervised Learning
- Unsupervised learning
- Reinforcement learning
- Semi-Supervised learning
- Self-Supervised learning
- Multi-Instance learning
- Multi-task learning
- Active learning
- Online learning
- inductive learning
- Deductive learning
- Transductive learning
- Ensemble learning
- Transfer learning
Here in this post, we will discuss only three major types of Machine Learning.
Supervised learning
As the name showing supervised learning, In this type we know about input that is given to the system and also its corresponding output. We can predict future output in this type easily.
Unsupervised Learning
In this case, we only know about the input data which is given to the system. And don’t know about the output. We can not predict anything until the output is given by the system.
Reinforcement Learning
Reinforcement learning is becoming a popular technique of artificial intelligence. For the organizations that face large and complex problem spaces on a regular or daily basis.
Actually it is the training to create a series of decisions. In this method, the agent is trained to achieve a specific goal in an uncertain and complex environment.
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