Machine Learning for Developers
Mission: To curate and create resources for practitioners to design, develop, deploy, and maintain ML applications at scale to drive measurable positive business impact.
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Machine Learning starts with collecting data.
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An overview of MLOps processes.
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Integrate Early and Iterate Often for Successful ML in Production
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Set up your ML project for success: integrate early and iterate often.
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Thinking about product and user experience is even more important in ML assisted products.
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Failure is the best teacher, albeit an expensive one.
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ML development today looks similar to how software development looked while it transitioned from the waterfall to iterative development process.
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Machine Learning for Developers


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