Data science and its wide range of applications

Companies and organizations have become wise and smart enough to sell and pay products based on the customer’s interest and purchasing power using this field called “data science.” These apps mentioned below show how they managed to win our minds and hearts.

1. Speech recognition:

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

2. Searching the Internet:

We use Google more than we use our brochures, right? Google or any other search engines like ASK, Bing, Yahoo and so on have made our life easy. Would it be possible for these search engines to be present if "data science" does not exist? The answer is simply no. It's the "data science" algorithms that transmit our search results and match them well within a few seconds. Every day, Google processes more than 20 petabytes of data. Data science is what made Google what it is today.

3. Play:

Machine learning algorithms are used in games for automatic upgrade when the player reaches the next level or higher. Using data science, EA Sports, Nintendo, Sony, Activision-Blizzard, and Zynga have driven gaming events to the next or higher level. When it comes to action games, the player's opponent, that is, the computer, checks the player's previous moves and configures the game accordingly.

4. Fraud and disclosure:

Funding was the first data science application. Bad losses and debts every year made companies get fed up. While loans matched a fair amount, data was collected at the beginning of the papers. Then the data scientist was brought in to save them from losses. Banks have now learned to conquer and segment data by displaying a customer profile, expenses in the past, and other important variables to study the potential for default and risk. It was also beneficial to them when their banking products were paid out based on the purchasing power of customers.

5. Image of recognition:

When you upload a photo with a group of friends or people to Facebook, you get suggestions to tag it. The auto-tagging feature uses an algorithm to recognize faces. Likewise, you can scan the barcode in the web browser while using WhatsApp in the mobile phone. Google also provides you with the option to search for images by uploading one. Here, image recognition is used to provide the best search results.

6. Target advertising:

Research is not only the largest application of machine learning and data science, the other biggest competitor is the entire digital marketing standard. The sites that contain display banners and digital billboards at airports, all of this are done using algorithms in data science.

7. Site recommendations:

We are used to recommendations for similar products when we shop online. It helps us find similar products from the millions and billions of products available. Companies use this engine to promote their products according to user interests and related information. To enhance the user experience, Amazon, Netflix, Twitter, Google Play, and LinkedIn use this experience. Based on the user's previous results, praise is offered.

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