Practical lessons and pitfalls learned by practitioners
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.
A Recipe for Training Neural Networks
The most common neural net mistakes and listing a few common gotchas related to training neural nets.
Getting Machine Learning to Production
Machine learning is hard and there are a lot, a lot of moving pieces.
Checklist for debugging neural networks
Tangible steps you can take to identify and fix issues with training, generalization, and optimization for machine learning models.
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.
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How to add Projects to your Collection
Identify the project you want to add to this collection. You can discover projects on the
page or search for them using the search bar at the top left of any page.
Once you've identified the project, click on the green bookmark symbol to its right.
means that you've already added it to some Collections and
means that you have yet to add it to any Collections.
Select the Collections you want to add the project to and unselect the Collections you want to remove the project from (if the project already existed in one of your collections).
and continue to add more projects and create more Collections.
Don't forget to tag
in your comment.
Data scientist/software engineer, machine learning practitioner
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