Differences between Data Science and Machine Learning:
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Data Science and Machine Learning are related but distinct fields, with different goals and approaches to working with data. Some key differences between Data Science and Machine Learning include: Scope: Data Science is a broader field that encompasses the entire process of working with data, from collecting and cleaning to analyzing and communicating insights. Machine Learning, on the other hand, is a specific technique within Data Science that focuses on using algorithms to learn from data and make predictions. Focus: The primary goal of Data Science is to understand data and extract insights that inform decision-making. Machine Learning, on the other hand, is focused on making predictions and classifying data based on patterns it has learned from previous examples. Methods: Data Science often employs a wide range of statistical and computational methods, while Machine Learning relies primarily on algorithms to learn from data. Data Science may also involve the use of traditional s