eugeneyan/applyingml

📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.

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This repository is for those building and managing machine learning projects. It provides a curated collection of papers, guides, and expert interviews to help you understand how machine learning is applied in real-world scenarios. It takes in real-world machine learning application problems and outputs practical insights and strategies for effective implementation. Machine learning practitioners, engineers, and product managers will find this useful for navigating challenges in applying ML.

204 stars. No commits in the last 6 months.

Use this if you are a machine learning practitioner seeking practical guidance and real-world examples to improve your ML application strategies.

Not ideal if you are looking for a software library, code, or a developer tool to integrate directly into your projects.

Machine Learning Strategy ML Project Management Applied AI ML Best Practices Technical Leadership
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 19 / 25

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204

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MDX

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Last pushed

Jun 05, 2024

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