How Machines are Learning to get Smarter?

 How are Machines Trained?




The process of making machines learn from historical data is known as training.

The science of machine learning revolves around teaching the machine by using datasets of different sizes composed of useful or random facts and/or figures and feeding them to the machine. The essence of this activity is to help the machine observe the data, establish meaningful connections between the different pieces of the supplied information, and prepare to make decisions about incoming data by incorporating these pre-established connections, also known as rules.




Want to know in detail about the process how any machine is get trained and capable of doing work like humans. Click on the video given below:


 




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