6 Applications to Learn in Data Science Course - 360DigiTMG

KL CITY CENTRE, Malaysia - March 13, 2020 - PRLog -- What is Data Science?

Data science makes use of various algorithms and tools to identify hidden patterns from the given raw data. Using machine learning principles, the history of data is processed to explain what the data means. Further, exploratory analysis is adopted to study and identify the occurrence of a particular event in the future.

Applications of Data Science

Using the techniques employed in data science, a large number of organizations adapt according to their target audiences to push their products. Here are some such applications:

• Internet Search

When speaking of data science, internet search engines are probably the most obvious applications that first come to mind. There are many search engines present on the internet which searches and produces information according to user input. They only give you the kind of content that may seem relevant to the searched topic.

• Chatbots

Most of the online platforms that offer customer relations can be seen using a chatbot to connect with the user. A learning chatbot employs artificial intelligence and machine learning tools to interact and respond to a user's query. The advancements in data science have allowed the bots to converse more and more as real people do.

• Online Advertisements

Digital advertisements employ data science techniques to filter out who may need to see a particular advertisement and whom it wouldn't have an effect on. These ads are often displayed according to a particular user's past behavior. This enables organizations to target their audience in a streamlined manner.

• Image Recognition

Using facial recognition tools, data science enables engines to recognize a set of pictures to be of the same person. One example of this is Google photos. You will be able to see that all the pictures of a particular person are there, stored under that person's tag.

• Gaming

Games are now designed to fit the player by adapting the game objects to behave according to the player's controls. The aim is not to beat the player, but to increase the player's interaction in the game to keep them hooked.

• Banking

Banks employ techniques that data science has to offer to ensure that their resources are managed efficiently. One major application in this field is fraud detection. The customer's expenditure is studied, and an alert is generated when unusual activities that are otherwise not predicted occurs.


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