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Answer: Machine learning tasks
Databricks Runtime for Machine Learning (Databricks Runtime ML) is specifically designed to optimize machine learning tasks. It comes equipped with pre-installed libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, and Horovod, along with configurations tailored for machine learning workflows. Additionally, it provides optimizations for GPU usage and distributed deep learning. While it can handle general data processing and includes visualization libraries, its primary focus is not on these areas. Similarly, while cost efficiency is a consideration, the runtime's main goal is to offer a high-performance environment for machine learning, making 'Machine learning tasks' the correct answer.
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