Leveraging Clear ML in the Cloud
Kyle and Moses discuss the magic behind Clear ML's cloud computing capabilities, including how it stores Jupyter notebooks as Python code, leverages auto scalers for cloud providers, and seamlessly integrates with git repositories for code storage and version control. They also highlight the real-time parameter logging and code editing features that make Clear ML a powerful tool for data scientists.In this clip
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