Artificial Intelligence vs Machine Learning

Machine Learning Vs. Artificial Intelligence

Machine Learning and Artificial Intelligence have entered in almost every field. This blog discusses these technologies with the

Published By - Debra Bruce

Before moving to the discussions such as the comparison between Machine Learning or Artificial Intelligence, we must first understand what they mean and how they function.

What is Machine Learning?

The machine learning is the process by which the machine can learn without prior explicit commands. Machine learning is an application of AI where the system can learn from the experiences and improve by the same.

What is Artificial Intelligence?

As the name suggests Artificial intelligence if broken into two simple words will lead to its meaning; Artificial meaning something which is not natural and more like human-made and intelligence means the ability to understand or think.

Artificial Intelligence is not a system, but it is implemented in the system. AI is generally expected to mimic the human behaviour and perform all the tasks just as a human can.

What’s the difference between Machine Learning and Artificial Intelligence?

Both these terms can lead to similar meanings because of the similarity in the way they perform. One might get confused with the differentiation between the both.

In a way, they go hand in hand, and there is not much to differentiate between the both except for few following points.

The key difference in both of these terms is with Artificial Intelligence the aim is to attain intelligence, and Machine Learning aim to attain knowledge.

Machine learning V/S Artificial Intelligence:

We have enlisted the key differences to help you understand the difference between the two and decide which one to choose.

Machine Learning Artificial Intelligence
Acquisition of skill or knowledge The ability to acquire and apply gained Knowledge
It allows the system to learn new things from the stored data It is decision making
It lets the system to learn new things from the data It is decision making
The machine takes the data and learns from it It works as a program which makes smart decisions
Its goal is to learn from the data for a particular task and maximise the performance on that particular task Its goal is to simulate the natural intelligence to solve complex problems on its own
It will go out for the solution irrespective of whether it is an optimal solution or not It will go out to find the optimal possible solution
Machine Learning leads to knowledge Artificial Intelligence leads to wisdom

Machine Learning is snowballing in almost all the sectors; here are few of the examples of Machine Learning

Machine Learning Examples:Now that we have discussed the fundamental differences between the Artificial Intelligence & machine learning, we will now move on to understand the machine learning and Artificial intelligence in a little bit of depth with the help of some examples.

  • Financial Sector
  • Healthcare
  • Retail

Machine Learning Examples in daily life:

  • Online transport Services

The online transport services such as Uber, Lyft, and Hop etc. use machine learning to determine the estimated time of arrival (ETA), pick-up locations etc. it is done by analysing millions of previous situations and matching it with the situation similar to yours.

  • Digital Entertainment Platforms

You must have used various online streaming entertainment platforms such as Netflix, or Amazon Prime etc. Most of the shows that you watch on these platforms are found through the recommendation engine.

  • Online Payment Gateways

Online payment gateways such as PayPal or CCAvenue use the machine learning algorithm to understand the fraudulent behaviour and prevent it from happening.

Artificial Intelligence Examples:

  • Voice recognition Services

All of us have used the virtual personal assistants like Siri or Cortana or Alexa, and we have seen the effect they have on our life too. These systems use the deep neural network to mimic human behaviour. They even understand the semantics and nuances of our language.

  • Video Games

We have seen the development in the gaming experience over the years, and it’s not just in the UI or graphics of the game, but the way computer plays also.

If you have played the EA Sports’ FIFA series, you will have noticed the stark difference between the ways the computer plays over the years. Nowadays it can even make decisions on its own as to which strategy is to be deployed and even with the gameplay there a lot of changes.

  • Smart Vehicles

Google’s driverless car Waymo or Tesla’s “autopilot’ feature are changing the dynamics of the automotive industry. The day won’t be too far when the car will be driven by itself, and we will be reading the newspaper.

These technologies use Artificial intelligence to its best use with the machine learning capabilities and deep learning.

  • Security Surveillance

The days of the single person monitoring the number of video cameras for surveillance are long gone. It’s not just hectic to do all that stuff, but it leaves the loopholes which could be exploited.

The Artificial Intelligence is replacing the manual surveillance with the intelligent security systems using different software to keep tabs on the security.

  • Email Marketing

Artificial Intelligence is drastically changing the email marketing, and its impact is pretty huge. It can help you develop the content strategy, segment the audience, develop new customer acquisition strategies etc.

  • Search Engines

Use of Artificial Intelligence in search engines is integral to its success. On the basis of the searches made by the user, the system performs a predictive analysis with the help of AI.

 

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