Types of Machine Learning and its uses!
Machine learning is all about teaching a computer how to study data and improve upon a set given task. Today, every kind of app and software uses machine learning in some form or another and that is why it has become a go-to solution for a lot of companies these days to handle data sorting tasks at hand. If we talk practically, then it is a study of how to build applications that demonstrate interactive improvement. That is why a lot of coding #Bootcamps are focusing on teaching machine learning these days.

Largely there are three main categories through which we can understand the types of machine learning.

Supervised learning: This is the most popular form of machine learning and is easier to understand. It is like teaching a child by using a set of flash cards. You can feed a learning algorithm and predict the label for it to the computer. Over time, the algorithm will understand the exact nature of relationship between example and the label. Once fully trained, the system will be able to observe new data and predict a good label for it.

Unsupervised learning: It is the opposite of supervised learning and in this process an algorithm is fed a lot of data and is provided with the tools to understand it as well. From there, it can learn to cluster, group or organize data in a way that makes sense to a human.

Reinforcement learning: This is a model that learns from its own mistakes. Initially the algorithm will make a lot of mistakes but once it begins to differentiate between good and bad, it can be reinforced into making way less mistakes than it used to. This form of learning is very behavior driven.

Applications of Machine learning
The dynamic nature of machine learning solutions is one of the main reasons why companies and organizations across verticals are adopting it. That is why #machine #learning boot camps are becoming more and more popular among budding programmers these days.

These algorithms help improve user experience for various online platforms like Facebook, Google, Netflix, and Amazon. This helps the companies understand what the end consumer likes and how to improve and become more unique.

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