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WHAT SHOULD I LEARN: MACHINE LEARNING OR DATA SCIENCE? Introduction Are you wondering what would be the best choice for you to learn: Machine Learning or Data Science? Both of these fields have a lot of potential and can open up many interesting career opportunities. But which should you learn first? In order to understand the differences between the two fields, we must first understand the knowledge overlap between them. In essence, Machine Learning is a subset of Data Science. It is an application of artificial intelligence that uses algorithms to make decisions and predictions based on data. On the other hand, Data Science focuses on drawing insights from large datasets and consists of many aspects like data engineering, mathematics, machine learning, analytics, visualization of data, etc. Thus, while both require knowledge in mathematics and statistics, Machine Learning requires an additional understanding of algorithms as well as experience in programming languages like Python or R. http://datatrainededu.bloggersdelight.dk/2023/08/10/what-should-i-learn-machine-learning-or-data-science/