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With the rapid growth and availability of Big data and programming tools such as Python and R, Machine Learning is gaining a mainstream presence for data scientists. ML applications are highly automated and improve over time with minimal human intervention as they learn from more/new data.
For example, Netflix's recommendation algorithm learns more about a viewer's likes and dislikes based on the shows each viewer watches.
To address the complex nature of various real-world problems, we need to choose appropriate ML algorithms. For beginners who are struggling to understand the basics of ML, we have listed the Top 10 ML Algorithms used by data scientists.
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