Scalability
Scalability is the ability of a system to handle an increasing amount of work or data in a capable and efficient manner. In data science and artificial intelligence, scalability is a crucial factor as the amount of data and complexity of algorithms increase with time. A scalable system should be able to handle large datasets, high traffic, and complex computations without compromising performance or accuracy. Scalability can be achieved through various techniques such as distributed computing, parallel processing, load balancing, and cloud computing. It is important to design and implement scalable systems to ensure that they can handle the growing demands of data science and artificial intelligence applications.
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