What is machine learning and types of machine learning

by Somay on April 30, 2021 in machine learning

What is machine learning?

Machine Learning is the branch of engineering. Machine Learning is a new technology of the modern world. Recommendation of youtube videos, Facebook book ads are part of machine learning. According to good word machine learning is the subset of the core part of Artificial Intelligence. In computer terms, machine learning found all information about given input and training or testing the data. Machine Learning is the ability to solve mathematical and computational problems.

How its work machine learning

Machine Learning is the core part of Artificial Intelligence. It manages the specific task learning from the given input or data to the machine. Machine Learning steps started from selecting data to the specifications given algorithm. After training the data you got the till correct or incorrect prediction as per your model requirements. If your prediction is failed after you will be trained data again and if your prediction is true your model will be correct and ready for the deployment part.

Types of machine learning

The machine is divided into three parts one is supervised learning and the second one is unsupervised learning and the third line is reinforcement learning. These are types of machine learning. Let's start with discuss in detail one by one.

Supervised learning.

It is also called direct learning. In this learning, we know the raw data and training data for the outcome of the model. They are many types of algorithms in supervised learning.

Random forest
Logistics regression
Linear regression and much more algorithm.

Unsupervised learning

It is also called indirect learning of machine learning. In this learning, we do not know the label data and training data. If I do not understand the data we cannot train the data and do not come outcome This raw data is fed to the Machine Learning algorithm and is used to train the model. The trained model or output tries to search for a pattern and give the desired output There are many types of algorithms in unsupervised learning

K-means clustering
Apriori
Hierarchical clustering
Principal component analysis

Reinforcement learning

Like ancient types of info analysis, here, the rule discovers info through a technique of trial and error so decides what action ends up in higher rewards. three major parts compose reinforcement learning: the agent, the atmosphere, and so on the actions. The agent is that the learner or decision-maker, the atmosphere includes everything that the agent interacts with, and so the actions square measure what the agent can.

Reinforcement learning happens once the agent chooses actions that maximize the expected reward over a given time. usually|this can be} often best to achieve once the agent is engaging at intervals a sound policy framework.

Conclusion

Machine Learning is a very important skill in the modern world. If you learn machine learning it is beneficial for you in the coming years.