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Data science and its wide range of applications

Businesses and organizations have become wise and smart enough to sell and push products based on customer interest and purchasing power by using this field called Data Science. These apps mentioned below show how they have managed to conquer our minds and hearts.


For voice recognition, products like Cortana, Google Voice, Alexa, Siri, etc. are the perfect examples. If one is bored of writing a text or is not in a position to write, this application is useful. You just need to speak and it will be automatically converted to text. Thus making life much easier!


We use Google more than we use our manuals, right? Google or any other search engine like ASK, Bing, Yahoo, etc. It has made life easier for us. Would these search engines be possible if data science didn’t exist? The answer is simply no. It is the algorithms of data science that transmit the best and best results of our search query in a few seconds. Every day, Google processes more than 20 petabytes of data. It is data science that has made Google what it is today.


Machine learning algorithms are used in games to automatically update when the player reaches the next level or higher. By utilizing data science, EA Sports, Nintendo, Sony, Activision-Blizzard, Zynga have taken gaming events to the next or higher level. When it comes to movement games, the player’s opponent, that is, the computer, examines the player’s previous movements and sets the game accordingly.


Finance was the first data science applications. Losses and bad debts each year had tired businesses. While the loans fit a considerable amount, the data was collected at the beginning of the paperwork. Then they brought in Data Scientist to save them from losses. Now banks have learned to conquer and divide data by looking at customer profiles, past expenses, and other important variables to examine the likelihood of default and risk. They also found it useful when their banking products were promoted based on the purchasing power of customers.


When you upload an image with a group of friends or people on Facebook, you get suggestions for tagging them. This auto-tag suggestion feature uses a facial recognition algorithm. Similarly, it is possible to scan the barcode in a web browser while using WhatsApp on a mobile phone. Google also gives you an option to search for images by uploading one. Here, image recognition is used to provide the best search results.


Search isn’t just the biggest application of machine learning and data science, the other big challenge is the entire scale of digital marketing. Websites that contain billboards and digital billboards at airports, all of these are made using data science algorithms.


We are used to recommendations on products that look alike when we shop online. They help us find identical products among millions and billions of products available. Companies use this engine to promote their products according to user interest and relevant information about them. To improve the user experience, Amazon, Netflix, Twitter, Google Play, LinkedIn uses this experience. Based on the user’s past results, the compliments are made.

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