Data Science

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Why do we need data science?

Data science has brought another industrial revolution to the world. Every industry in the world needs data. With advances in computing capabilities, companies can examine rich data and understand insights from large groups of information. Also, data science industries can make informed data-driven decisions. In this article we will see how the data industry has been used to build their customer experiences.

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Data science use case

Here is a list of the 6 most important use case studies you should know. Large companies use data science for a variety of purposes. Let's start with the most popular Facebook

Facebook - using data to restore social networking and advertising

 Facebook is the global leader in social media today. With millions of users around the world, Facebook uses large-scale quantitative research through data science to gain insight into people's social interactions. Facebook has become an innovation center where advanced data science techniques are used to study user behavior and gain insights to improve the product. Facebook uses advanced data science technologies called deep learning. Facebook uses facial recognition and text analysis for in-depth analysis. Facebook uses powerful neural networks for facial recognition to classify faces in photos. It uses the "DeepText" text understanding engine to understand the user's sentences. It also uses deep text to understand people's interests and align photos with text.

However, Facebook is more than just a social media platform; it is more than just an advertising company. It uses an in-depth analysis for targeted advertising. This decides what types of ads users should view. It uses the insights gained from the data to group users based on their preferences and gives them ads that appeal to them.


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