Setting up Data Collection (ML4Devs, Issue 8)Machine Learning starts with collecting data.
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Machine Learning Life Cycle (ML4Devs, Issue 7)An overview of MLOps processes.
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MLOps for Continuous Integration, Delivery, and Training of ML Models (ML4Devs, Issue 6)Integrate Early and Iterate Often for Successful ML in Production
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Setting Up a Machine Learning Project (ML4Devs, Issue 5)Set up your ML project for success: integrate early and iterate often.
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When to (Not) Use Machine Learning (ML4Devs, Issue 4)Thinking about product and user experience is even more important in ML assisted products.
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Why Machine Learning Projects Fail (ML4Devs, Issue 3)Failure is the best teacher, albeit an expensive one.
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Machine Learning vs. Traditional Software Development (ML4Devs, Issue 2)ML development today looks similar to how software development looked while it transitioned from the waterfall to iterative development process.
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Introducing Machine Learning for Developers Newsletter (ML4Devs, Issue 1)Mission: To curate and create resources for practitioners to design, develop, deploy, and maintain ML applications at scale to drive measurable positiv…
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