The collecting, sorting, and analyzing all of these data are pretty time consuming, however, that's starting to change with the emergence of something called Machine Learning. Machine-Learning Is type of computer science that allows computer programs to learn and all on their own in the past. computers could only do what we programmed them to do but in machine learning, they can behave like humans and gain their knowledge based on their past experiences.
HOW DOES MACHINE LEARNING WORKS?
Machine Learning is 'A' division of AI. it's really cool because we don't actually have to program the machine to do what we want it improves or learns by repeating the same task over and over again. it's similar to how a person learns from experiences.it works by exploring data, identifying patterns, and involves minimal human intervention. almost any task that can be completed with a data-defined pattern or set of rules can be automated with machine learning. this allows companies to transform processes that were previously only possible for humans to perform-think responding to customer service calls and reviewing resumes.
Machine Learning Uses Two Main Techniques:
- Supervised Learning
- Unsupervised Learning
Supervised Learning
Supervised Learning allows you to collect data or produce a data output form previous ML deployment supervised learning is exciting because it works in the same way humans actually learn.
Unsupervised Learning
Unsupervised Learning helps to find all kinds of unknown patterns in data. in unsupervised learning, the algorithms try to learn some inherent structures to the data with only unlabeled examples. two common unsupervised learning tasks are clustering and dimensionality reduction.
Machine Learning Application
The value of machine learning technology has been recognized by companies across several industries that deal with huge volumes of data.companies are able to wok in an efficient manner to cost as well as get an edge over their competitors. this is how some sectors domine are implementing machine learning.
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