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Difference between Artificial Intelligence vs Machine Learning vs Data Science

In this article, we will be discussing the key difference between technological words Artificial Intelligence vs Machine Learning vs Data Science. Many of us don't know the real difference so there is a misconception in people about these terms. first, take a look at some verbose and technical definitions about these popular terms. Artificial Intelligence  is the simulation of human-like intelligence executed by machines, especially computer systems. These processes include learning (taking some information and based on previous knowledge), reasoning (using rules to reach approximate or definite conclusions) and self-correction. Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions(without traditional coding), relying on patterns and inference instead. Data science is not a single field instead of its a multi-disciplinary field that uses scientific metho...

What is AI and Machine Learning ?

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Hi Folks, Many of us might be encounter this term before by any means, but only some of us have any idea about this latest buzz around. So here we will go some deep dive into these trending technology-related words, and also we will see some important information about this emerging technology. As we all know that AI i.e.  "Artificial Intelligence"  this term was first coined by John McCarthy in 1956 at his first academic conference. Oh, can you guys just believe in the fact that this guy was too much ahead of his time?, but yes the journey of AI till now was not that much simple and easy. The main advances over the past sixty years have been advances in search algorithms, machine learning algorithms by which we can implement above this technology to change the future. In my opinion, we are very lucky that we are living in this era and believe me guys, we will be the first in the human race to experience  the difference between life before this and after this. ...