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Invisible Fiction

Machine Learning Versus Artificial Intelligence

Many People Prefer To Use Phrases Such As Artificial Intelligence And Machine Learning As Same But All Don’t Know The Difference Between Artificial Intelligence And Machine Learning. 

While Artificial Intelligence (AI) and Machine Learning Are Intimately Connected, they are not the same.

Many People Prefer To Use Phrases Such As Artificial Intelligence And Machine Learning As Same But All Don’t Know The Difference Between Artificial Intelligence And Machine Learning. 

While Artificial Intelligence (AI) and Machine Learning Are Intimately Connected, they are not the same.

Machine Learning Is a Part Of the larger field of  AI (Artificial Intelligence). Machine learning is a particular approach to Artificial Intelligence.

  1. Machine Learning algorithms use past data because the input predicts different output consequences. Artificial Intelligence (AI) is the sense of a computer application or a Machine to evaluate and determine.                                                                                                                                                                                                                                                                                                                                      
  2. Artificial Intelligence (AI) Is a Very Wide Concept Wherase Machine Learning Is An Subset.                                                                                                                                                                                             
  3. The goal of Artificial Intelligence (AI) is to produce a smart computer a system like humans to solve complicated problems But the goal of Machine Learning is to empower machines to learn from data so that they can provide reliable output.                                                                                                                                                                                                                                                             
  4. Machine learning is the two central subsets of Artificial Intelligence (AI). Deep learning is the main subset of machine learning.                                                                                                                     
  5. Artificial Intelligence (AI) has a very wide range of scope But Machine learning has a limited scope.                                                                                                                                                                
  6. Artificial Intelligence (AI) is working to generate an intellectual system that can execute several complicated tasks. Machine learning is working to create machines that can execute only those specific tasks they are trained for                                                                                                                                                                                                                                                                                          
  7. Artificial Intelligence (AI) system is concerned about maximizing the possibilities of success. Machine learning is mainly touched with accuracy and ornaments.                                                                 
  8. Based on aptitudes, Artificial Intelligence (AI) can be subdivided into three types, which are, (1) Weak AI, (2) General AI, and (3) Strong AI. Machine learning can be divided into three types that are (1) Supervised learning, (2) Unsupervised learning, and (3) Reinforcement learning.                                                                                                                                                                                     
  9. Artificial Intelligence (AI) involves learning, reasoning, and self-correction. Machine learning involves learning and self-correction while presented with different data. Artificial Intelligence (AI) Completely Deals With (1) Structured, (2) Semi-Structured, And (3) Unstructured Data.                                                                                                                                                                                         
  10.  Artificial Intelligence (AI) is to produce a smart computer a system to solve complicated problems. Machine learning teaches the computer how to perform on its own.                                                      
  11. Artificial intelligence, broadly defined, concerns itself with any class of algorithms or techniques that allow a computer to do some task rationally. Machine learning is a powerful technique in artificial intelligence that uses data and examples to learn patterns and structures in the environment.                                                                                                                                                                              
  12. Artificial intelligence Any machine program that mimics the ‘intelligent’ features of our intellect. This is decision-making based on data. Machine learning programs (algorithms) that work on data to tell you what it is about.                                                                                                                                                                                                                                                                                                   
  13. Artificial intelligence (AI) carries with it a hope of real human-to-machine intercommunication. If Machines enhance data, people can understand questions, compare data points and describe conclusions.

Famous Quotes On AI And Machine Learning:-

“AI doesn’t have to be evil to destroy humanity – if AI has a goal and humanity just happens in
the way, it will destroy humanity as a matter of course without even thinking about it, no hard
feelings.” – Elon Musk.

 

“With A.I. especially, I’m optimistic,” – Mark Zuckerberg 

 

“so incredible, it will change society in some very deep ways,” – Bill Gates

 

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