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Understanding data science is not strictly a prerequisite for learning machine learning, but it significantly enriches your machine learning journey. Data science provides a solid foundation in handling and analyzing data, which is crucial because machine learning algorithms rely heavily on data to learn and make predictions. Knowledge of data preprocessing, exploration, and visualization from data science helps in preparing and understanding the data before applying machine learning models. Additionally, a good grasp of statistics and mathematics, often emphasized in data science, is essential for understanding how machine learning algorithms work. So, while you can dive directly into machine learning, having a background in data science can give you a more holistic understanding and skill set for tackling machine learning problems effectively.
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