Do you know how Artificial Intelligence, Deep Learning and Machine Learning are safeguarding the world from Covid-19 pandemic?

 



There is a common misconception with the usage of words Artificial Intelligence, Machine Learning and Deep Learning. Due to its close relation, it can be interchangeably used in the Information Technology context. Here’s how you can master the differences and use the terms smartly in your conversation


Wouldn’t you agree that the biggest concern that affects the world today is the deadly spread of Corona Virus or Covid-19 pandemic. Measures to curb the pandemic, methods to analyse the positive cases and preventive knowhow to safeguard the populace is an urgent healthcare goal at the global level. But how is the pandemic related to Artificial Intelligence (AI) you may ask. Interestingly, AI actually holds the answer to it.
Here’s how you can understand the meaning of the IT terms - Artificial Intelligence, Deep Learning and Machine Learning and also learn its application in the current day for greater relevance.

What is Machine Learning?
Machine Learning (ML) is a highly effective technique of parsing data, learning from it to apply the same data and make appropriate conclusions for a task or study.

The concept of ML is widely used in consumer-based platforms. If you have been using online shopping options through your mobile phone or laptop and have been enjoying multiple choice suggestions as per your preference, then this is the simplest application of Machine Learning in a shoppers’ world. Online shopping giants Amazon, Flipkart, Snapdeal etc use ML smartly and apply it to upgrade a shopper’s user experience dynamically.

During the lockdown to curb Covid-19 spread, the online movie streaming channel of Netflix witnessed very high usage and made large profits. If you watch movies on Netflix then you should now be aware that the suggestions that pop up on your screen to select new films of your choice uses Machine Learning application. The next time you sit comfortably in your couch to watch a movie, thank the ML application used for the generous suggestions that are popping up for you.

On the Covid-19 healthcare front, in order to predict the outbreak of more cases in a specific time period in any region, Machine Learning technology is being used by Facebook. It uses ‘Prophet’ - an open source software that is released for common usage by Facebook’s Core Data Science Team.

What is Deep Learning?

Deep learning (DL) is a term related to ML because it actually is a subset of Machine Learning with higher functions. Deep Learning has many more properties and enhanced capabilities than ML. Deep Learning is efficient enough to make suggestions to upgrade user experience all by itself. This enhanced capability is a big favourite with creators.

One of the most amazing concept-driven applications of DL in automobile segment is that of an Automatic Self Driven Car. The driving system uses Deep Learning and perpetually makes amends and changes preferences by itself for better user experience and in this case, for a safer long drive.



What is Artificial Intelligence (AI)?
AI is a whole new world that is key to a better life. Related in a big way to Deep Learning and Machine Learning, these two terms are a subset of AI. Many experts differ in the exact definition of AI. This is due to the reason that AI is an ability of a computer program to function entirely on its own like the human brain. AI is fascinating and very empowering with its own intelligence quotient.

Scientists have been experimenting to build a robot that replicates a human brain and functions on its own in the exact same way a human brain thinks and operates. Many robots that help with web-based life-saving surgeries use AI to a great extent.

It is largely professed that Machine Learning and Deep Learning are means to achieve Artificial Intelligence. AI, however, is a much bigger aspect and there is continuous work ongoing in various countries to achieve that.

 






Comments

Anonymous said…
Hi, what a nice way to explain the basic differences of IT terminology. Please update more of such lifestyle articles that In an relate to.

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