685: Tools for Building Real-Time Machine Learning Applications, with Richmond Alake
Super Data Science: ML & AI Podcast with Jon Krohn
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Transition from Physics to Data Science, Investment in MLOps, and Writing for Data Scientists
The chapter explores the transition of individuals from physics to data science, the importance of machine learning algorithms in handling vast amounts of data, and the significant investments in MLOps. It also delves into the benefits of writing for data scientists in enhancing visibility and opportunities within the industry, with examples shared by the speaker from personal experiences and recommendations for relevant books.
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