Practical Lessons
Practical lessons and pitfalls learned by practitioners
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Building Machine Learning Products: A Problem Well-Defined
In this post, we'll dig deeper into how to develop the requirements for a machine learning project when you're given a vague problem to solve.
product-management products systems-design machine-learning
A Recipe for Training Neural Networks
The most common neural net mistakes and listing a few common gotchas related to training neural nets.
systems-design checklist training debugging
Getting Machine Learning to Production
Machine learning is hard and there are a lot, a lot of moving pieces.
production machine-learning tutorial article
Checklist for debugging neural networks
Tangible steps you can take to identify and fix issues with training, generalization, and optimization for machine learning models.
debugging checklist systems-design tutorial
When Not to Choose the Best NLP Model
While these models are indeed incredible and do show unparalleled results, they may not be suited for your NLP task or your business.
systems-design production natural-language-processing tutorial
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Data scientist/software engineer, machine learning practitioner
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