Data Science and its wide range of applications

Companies and organizations have become wise and smart enough to sell and promote 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 win our hearts and minds.

1. VOICE RECOGNITION:

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

2. INTERNET SEARCH:

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 it be possible for these search engines to exist if Data Science did not exist? The answer is simply no. It is the Data Science algorithms that transmit the best and best result 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.

3. GAME:

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

4. FRAUD AND DETECTION:

Finance had been the first applications of data science. The losses and bad debts each year had made the companies fed up. Although the loans conform to a fair amount, the data was collected at the beginning of the procedures. They then brought in Data Scientist to save them from loss. Banks have now learned to conquer and slice data by looking at customer profiles, past spending, and other important variables to examine probability of default and risk. They also found it helpful that their banking products were powered by customers’ purchasing power.

5. IMAGE RECOGNITION:

When you upload a picture with a group of friends or people on Facebook, you get suggestions to tag them. This auto tagging 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.

6. TARGETED ADVERTISING:

Search is not only the biggest application of machine learning and data science, the other big challenge is the whole scale of digital marketing. Websites containing display banners and digital billboards in airports, all of these are made using algorithms in Data Science.

7. WEBSITE RECOMMENDATIONS:

We are used to recommendations about similar products when we shop online. They help us find identical products among the millions and billions of available products. 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 use this experience. Based on the user’s previous results, recommendations are made.

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