The fundamentals of Artificial Intelligence begins with understanding how machines can be put to work by taking data as the input to solve problems faster than human counterparts. Theoretical aspects include a lot of data processing techniques like data cleansing, data segregation, and more while the processing is governed by using algorithms and techniques that are used to train a model so that it can learn new things from the data and understand how to produce analytics from the same. Data visualization also plays a key role in the world of AI as it is the result that is mostly used and favored to denote results in an easy-to-understand fashion. The working of AI, in general, is based on the programmability of the user who wants to implement a solution to a problem using algorithms.
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