Machine Learning for Developers
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Machine Learning Life Cycle (ML4Devs, Issue 7)
An overview of MLOps processes.
Satish Chandra Gupta
Feb 19
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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
Satish Chandra Gupta
Feb 11
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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.
Satish Chandra Gupta
Feb 4
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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.
Satish Chandra Gupta
Jan 28
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Why Machine Learning Projects Fail (ML4Devs, Issue 3)
Failure is the best teacher, albeit an expensive one.
Satish Chandra Gupta
Jan 21
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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.
Satish Chandra Gupta
Jan 14
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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…
Satish Chandra Gupta
Jan 7
3
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