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Monitoring Machine Learning Models in Production

christophergs.com · published 14 March 2020

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2blogs citing
First cited
3 Jan 2021
Most recent
29 Nov 2021
Rank this month
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External links
41
Words captured
5,549

Cited by

Blog
In the post
Date
sh-reya.com
The Modern ML Monitoring Mess: Rethinking Streaming Evaluation (1/4) Read at the source ↗
29 Nov 2021
jeremyjordan.me
A simple solution for monitoring ML systems. Read at the source ↗
3 Jan 2021

Links from this post

Link
Host
https://martinfowler.com/articles/cd4ml.html
martinfowler.com
https://www.trainindatablog.com/feature-engineering-for-machine-learning-comprehensive-overview/
trainindatablog.com
https://www.trainindatablog.com/building-and-deploying-reproducible-machine-learning-pipelines/
trainindatablog.com
https://papers.nips.cc/paper/5656-hidden-technical-debt-in-machine-learning-systems.pdhttp:/martin.zinkevich.org/rules_of_ml/rules_of_ml
papers.nips.cc
https://www.trainindatablog.com/testing-and-monitoring-machine-learning-model-deployments/
trainindatablog.com
https://samuelmullen.com/articles/the-high-cost-of-technical-debt/
samuelmullen.com
https://www.youtube.com/watch?v=2qhUIl1MBe4
youtube.com
https://www.superdatascience.com/podcast/machine-learning-at-twitter
superdatascience.com
https://towardsdatascience.com/monitor-stop-being-a-blind-data-scientist-ac915286075f
towardsdatascience.com
https://en.wikipedia.org/wiki/General_Data_Protection_Regulation
en.wikipedia.org
https://ai.google/research/pubs/pub46555
ai.google
https://www.microsoft.com/en-us/research/uploads/prod/2019/03/amershi-icse-2019_Software_Engineering_for_Machine_Learning.pdf
microsoft.com
https://research.google/pubs/pub46555/
research.google
http://atulgawande.com/book/the-checklist-manifesto/
atulgawande.com
https://www.youtube.com/watch?v=7jKTofl2vmM
youtube.com
https://medium.com/@copyconstruct/testing-in-production-the-safe-way-18ca102d0ef1
medium.com
https://en.wikipedia.org/wiki/Standard_error
en.wikipedia.org
https://www.statisticshowto.datasciencecentral.com/probability-and-statistics/hypothesis-testing/anova/
statisticshowto.datasciencecentral.com
https://en.wikipedia.org/wiki/Kruskal%E2%80%93Wallis_one-way_analysis_of_variance
en.wikipedia.org
https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test
en.wikipedia.org
https://landing.google.com/sre/
landing.google.com
https://grafana.com/blog/2019/10/21/whats-next-for-observability/
grafana.com
https://medium.com/@copyconstruct/monitoring-and-observability-8417d1952e1c
medium.com
https://www.oreilly.com/library/view/distributed-systems-observability/9781492033431/
oreilly.com
https://prometheus.io/
prometheus.io
https://grafana.com/
grafana.com
https://www.robustperception.io/author/brian
robustperception.io
https://prometheus.io/docs/introduction/overview/
prometheus.io
https://giphy.com/gifs/Vaq10GafGxmflhKISt
giphy.com
https://about.gitlab.com/blog/2019/07/23/anomaly-detection-using-prometheus/
about.gitlab.com
https://www.elastic.co/what-is/elk-stack
elastic.co
https://logz.io/
logz.io
https://www.splunk.com/
splunk.com
https://www.youtube.com/watch?v=WZNEsc7ynxI
youtube.com
https://www.youtube.com/watch?v=qz1S-tv6iZs
youtube.com
https://aws.amazon.com/blogs/aws/amazon-sagemaker-model-monitor-fully-managed-automatic-monitoring-for-your-machine-learning-models/
aws.amazon.com
https://www.seldon.io/exec/products/deploy/
seldon.io
https://www.datarobot.com/platform/mlops/
datarobot.com
https://superwise.ai/
superwise.ai
https://hydrosphere.io/
hydrosphere.io
https://github.com/kubeflow/kfserving
github.com
Elsewhere on christophergs.com (1)
https://learning.christophergs.com/
learning.christophergs.com