ML & AI – Machine Learning & Artificial intelligence: The Major Difference
In today’s trend, almost all people think that Machine Learning and Artificial Intelligence both are the same. That’s not the end as there’s still a lot of confusion within the public as well as media regarding what does the term machine learning and artificial intelligence truly mean.
Not need to worry, in today’s article, I will give you brief details as to what’s the major difference between Artificial Intelligence and Machine Learning.
So far in our earlier article, we have already discussed everything you need to know about Artificial Intelligence, still, just have a look at the basic definition of both:
Artificial Intelligence (AI) :
In technical terms we can describe AI as ‘Every aspect of learning features of intelligence can in principle be so precisely described that a machine can be made to simulate it. ’
The technology behind the AI can be categorized into three different groups that include AGI – Artificial General Intelligence, Narrow AI, and Super-intelligent AI.
AI can refer to anything from playing a game of chess by a computer program to different Voice Recognition systems that interpreting and responding to speech like Amazon’s Alexa.
Machine Learning (ML) :
A sub field of AI is known as ML – Machine Learning. The core concept behind it is that Machine takes data and learn for themselves.
We can say that Machine learning is the most promising tool in the AI kit for businesses. At object recognition, speech recognition, facial recognition, translation, and many other tasks ML can quickly apply the knowledge and train from large data sets to excel.
Machine learning allows a system to learn to recognize the pattern on its own and to make a projection basis on that instead of hand-coding a software program with some specified instructions to complete them.
Now, Let’s go through some of the major differences between AI and ML:
For better clarification have prepared point wise differentiation of it so that you can get a better understanding of Machine Learning and Artificial Intelligence. We are all aware that both are the terms of computer science.
|Machine Learning – An acquisition of knowledge or skill
|Artificial Intelligence – An ability to acquire and apply knowledge.
|A simple concept machine takes data and learn from data.
|It works as a computer program that do smart work.
|ML allows the system to learn from data by own
|AI is decision making.
|Goal behind ML is to learn from data on some certain task and maximize the performance of machine.
|Goal is to simulate natural intelligence with purpose for solving complex problems.
|Machine learning involves creating self learning algorithms.
|Artificial Intelligence leads to develop a system to mimic human to respond behave in a circumstances.
|Machine Learning leads to knowledge.
|Artificial intelligence leads to wisdom.
|Aim behind Machine learning is to increase accuracy either it lead to success or not.
|Aim behind Artificial Intelligence is to increase the chance of success and not accuracy.
|Machine learning will go with just solution either it is optimal or not.
|Artificial Intelligence go with optimal solutions.
Here is the list of points that by which you can get the understanding the main difference. Transform your business with next-generation AI solutions and that all you need to do is just get in touch with us at Blueshark Lab.
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