Software Engineering is not limited to developing and implementing applications or tools anymore. With changing technology landscape, software Engineering has come a long way, thanks to the evolving intelligent systems. Machine Learning and Deep Learning Technologies have created avenues to execute tasks efficiently and more intelligently.
In this entire transformations, Machine learning and Deep Learning frameworks have played a huge role allowing innovation to take the centre stage.
In this blog we will unfold following aspects:
What is Machine Learning?
Machine Learning Real-World Examples
How does Machine Learning Help us?
Types of Machine Learning Algorithms
Top 11 Machine Learning Frameworks and Some Other Frameworks Too
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What is Machine Learning?
So much is said about Machine Learning and the multifaceted benefits it offers. But it is actually difficult to comprehend the advantages unless the fundamentals are laid out clearly. So before going into much detail, let’s understand what is Machine Learning?
Machine Learning is the field that deals with educating the machines to make them able to make decisions like humans.
To define it more specifically,
“Machine Learning is the field that is a subset of Artificial Intelligence, is a process that deals with educating a computer system so that it learns from its own feedback, instead of having to explicitly program it for every task.”
For an instance, when you buy something on Amazon, it starts showing you the similar products related to your last purchase and recommends you some additional products that you may prefer. All these are the tasks possible through Recommendation system that is executed through Machine Learning Algorithms.
Let’s take a look at the real-world examples of Machine Learning!
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