How Machine Learning is important for Data Science?
Machine learning is an integral part of data science and is used to solve many predictive analytics business problems. Any data science problem wherein historical data is used to predict future occurrences requires knowledge and implementation of machine learning algorithms. For example – creating a customized recommendation engine for e-commerce portals, video-streaming businesses such as Netflix, YouTube, etc. all uses machine learning algorithms as these services are customized depending on the utility and preferences of the users.
Furthermore, machine learning is also extremely important in implementing automation projects as well in data science wherein the machines or systems are trained to self-act to impulses.
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