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Articles by Vishnu Prathish
Why does your Machine Learning Ops feel inadequate?
Every time I design a new microservice, there is a TODO checklist that I check against. An early item in this list is about setting up CI/CD for the new service. I think about what the artifacts are and how they get formed at various stages. I consider how it eventually gets deployed to production and how it gets monitored post-deployment. This situation is not unique to me. Modern software engineering practices implement well-thought CI/CD principles as a norm.
7 MLOps ‘Smells’ that tells that your ML process stinks
Bad practices and other symptoms in your Machine Learning process that indicates a deeper problem Code smells are a common way of identifying hidden problems in your code using a surface level inspection. Here are some practices that shows similar smells in your Machine learning process. They increase the probability of hidden errors in your ML practice over the long term. You are directly manipulating model artifacts.
Why should you have CI/CD for your Machine Learning process?
How bad machine learning process can be fixed through CI/CD Emagin’s recommendation engine once issued an unusual action. An action that could have had damaging consequences because of our bad machine learning practice. Photo by Fikri Rasyid on Unsplash We provide operational control recommendations for water infrastructure companies. To one of our largest customers, our software furnished a command to overflow their reservoirs. By pumping more water into it while the reservoir was already full.
How to Clean Your Microfiber Couch
Imagine your kids are coming home after a long day of school, sweaty and dirty from a day of playing and learning. You know what I'm talking about: they drag in dirt, and sometimes even have silly things scrawled on their hands! Well, imagine that while your back is turned, they throw themselves on your brand new couch. Kids will be kids! Unfortunately, dirty kids are not the only obstacle your couch will face.
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