Over the last few years, the machine learning and deep learning industry have been booming. There are plenty of new start-ups starting every year and many machine learning companies have also become multi-million companies. There are many reasons behind the popularity of Machine learning.
Here, in this article, we have shared different reasons, why machine learning has become so popular over the last few years.
If you are studying computer science and looking for a full-time job in this field, then learning Machine learning concepts can be very helpful.
Top reasons why machine learning has become so much popular:
Innovation makes it interesting
Being innovative is the biggest advantage of machine learning concepts. You can develop something that no one has seen before and attract a larger audience to use your product. For example, with the help of machine learning, you can develop an app that recognizes all the objects and shows you the correct count. In this app, a user needs to just upload a picture of the object and AI/ML machine counts the total number of objects in that picture and returns the count.
This app has been trending and this website has got thousands of views over the last month or two. Apart from that, Machine learning concepts innovation can also help in other industries like education, pharma, accounts, public relation, and many others.
Flexibility in binary programming programming
The concept of binary to decimal conversion plays a very important role in the development of any machine learning product. Now, with the innovative frameworks, it has become very flexible to perform any kind of binary to decimal programming. All you need to do is just install a node.js plug-in to convert binary to decimal and then with just one line of code, you can easily develop and implement a binary to the decimal converter in your project. For example, you can consider this website to learn.
A huge amount of data
One main thing a deep learning machine requires is nothing but a huge amount of data. This data entry needs a value of a minimum of 1 million entries. For a normal human being, it is next to impossible to gather 1 million data and then train the model. To resolve this issue, there are many web scraping tools available that developers can use to gather the data that is available online and then use that data in their app. With the help of these libraries, developers can gather data in just a few minutes and start training Machine learning models quickly. There is a Python library called scrappy that is useful for web scraping easily.
Ready-made frameworks and library
Ready-made frameworks and libraries attract more developers is the biggest reason for the machine learning products. Most developers use the Python programming language for deep learning. Python is an open-source programming language that lets the user use any package totally for free. Along with that, users can also modify the package and upload their package as well. This attracts more developers to contribute and develop more packages. This is the biggest reason behind the expansion of machine learning projects. Not only that but there are also big players like Google and IBM involved in the development of deep learning products.
A huge community behind it
As discussed above, there are big players like Google and IBM involved in the deep learning projects. You can get solutions for your every query in the form of packages. If you do not find a correct answer after implementing packages then you can also ask on the community forum. Millions of users use this kind of forum and they can help you to find the correct solution for your product. Along with the Python community, there are many other communities like Stackoverflow and StackExchange that can also be useful.
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So, these are the best reasons why machine learning has become so popular among users. If you know any other reason why machine learning has become so much popular then do share it with us. Your contribution will help other users to gain more knowledge.