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Machine Learning vs Artificial Intelligence - What is the Difference?


Artificial intelligence and machine learning are two terms that are often used interchangeably. While these two are similar in nature and cross paths more than just a few times, there are major differences between machine learning and artificial intelligence. As the industry continues to grow and progress, both are utilized more and more, but understanding the difference becomes necessary, both for the average consumer and for corporations looking to implement the technology within the business itself. Below we will go through some main differences between AI and ML.

What is AI?

AI comprises of two words Artificial means something which is made by human and Intelligence means ability to think or understand. In short, Intelligence created by humans. AI is a broader concept of machines able to carry out tasks in a smarter way. AI is applied when a machine imitates "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving". It is science & engineering of making computers behave in a way, until recently; we thought that required human intelligence. Artificial Intelligence is not a system; it is implemented in a system.

What is ML?

ML is learning in which machine can learn by its own without being explicitly programmed. Machine learning is a subset of AI. It is one of the many ways that you can perform AI. ML is the study of computer algorithms that will allow computer programs to automatically improve through experience. Machine Learning relies on big data sets to remind the data to find common patterns. ML is incorporated in every day tools we us to create a better experience for you. Even Google also uses your data to optimize advertisements.

The difference between AI & ML?

  1. Main aim of AI is to increase the chances of success but no accuracy but on the other hand ML focuses on accuracy rather than success.
  2. AI goal is to stimulate natural intelligence to solve complex problems but the goal of ML is to learn from data for a certain task to maximize the performance of the machine.
  3. Primarily AI is used for decision making but ML allows the system to learn from the previous experience.
  4. AI develops a system to mimic humans, thus the system can respond and behave in certain circumstances but ML helps in self-learning algorithms.

The Value of Machine Learning and Artificial Intelligence for Businesses

With the entire buzz going around Machine Learning & Artificial Intelligence, businesses are now becoming curious about the applications and its benefits of Machine Learning in business. Now the question is if business-related problems can solved by it, or the value it can add to their businesses? In long term ML & AI broadly have potential to provide rapid value to businesses.

ML is a data analysis process which leverages Machine Learning algorithms to iteratively learn from the existing data and help computers find hidden insights without being programmed for it. AI-powered software is best tool for enhancing human capabilities instead of replacing humans for the time being. Another field where AI & ML are evoking interest is in the automation of analytical activities such as optimization, segmentation, and predictive modelling.

To the future

Considering the growing volumes and varieties of data, there is a need for computational processing is becoming vital to provide deep-rooted information which is cheap and easily available.

To automate models that can analyze bigger and complex data to return fast and accurate results with the help of Artificial Intelligence and Machine Learning.

We must say that both Artificial Intelligence and Machine Learning would be essential to the upcoming society.

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