This content originally appeared on DEV Community and was authored by Deepak Gupta
Introduction
Hello everyone!
In this article, we look into about machine learning in Artificial intelligence
We are using Artificial intelligence in our daily life I will tell you that Machine learning how it work and how many types we are see all the step in this article it's help you to grow and build your knowledge.
Machine learning is a subset of AI,and it's provide the static ( Statistics )Method and there algorithm and enable to machine and computers learning ,the program to change in any case Machine Learning is utilized in various applications, ranging from automating.
What is Machine learning ?
Machine Learning provides many different techniques and algorithms to make the computer learn Machine learning uses a massive amount of structured and semi-structured data so that a machine learning model can generate accurate result or give predictions based on that data. Also it's called (ML)Machine learning enables a computer system to make predictions or take some decisions using historical data without being explicitly programmed.
Types Of Machine Learning
There are Three types of Machine learning
1.Supervised Learning
2.Unsupervised Learning
3.Reinforcement Learning
Supervised Learning
Supervised learning is typically done in the context of classification, when we want to map input to output labels, or regression.
Supervised learning (SL) is the machine learning task of learning a function that maps an input to an output based on example input-output pairs.
Unsupervised Learning
Unsupervised learning is a type of machine learning in which the algorithm is not provided with any pre-assigned labels or scores for the training data.
Advantages of unsupervised learning include a minimal workload to prepare and audit the training set, in contrast to supervised learning techniques where a considerable amount.
Reinforcement Learning
Reinforcement learning is a machine learning training method based.It enables an agent to learn through the consequences of actions in a specific environment.
example, types of reinforcement might include praise, getting out of unwanted work, token rewards ,etc.
It's the some of the basis points of the machine learning I will also provide the machine learning and there platform is also giving in my last article. You can check there and learn about the machine learning.
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Conclusion
I hope you found this article useful, if you need any help please let me know in the comment section.💯
This content originally appeared on DEV Community and was authored by Deepak Gupta
Deepak Gupta | Sciencx (2021-10-16T18:26:59+00:00) Machine Learning in Artificial Intelligence 💯. Retrieved from https://www.scien.cx/2021/10/16/machine-learning-in-artificial-intelligence-%f0%9f%92%af/
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