Hacker News
- Rules of Machine Learning: Best Practices for ML Engineering [pdf] http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf 4 comments
- Best Practices for ML Engineering from Google [pdf] http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf 16 comments
Lobsters
- Rules of Machine Learning http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf 2 comments cogsci , pdf
- For those with jobs that use ML daily: what do you think of this internal guide from google? http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf 6 comments datascience
Linking pages
- GitHub - ZuzooVn/machine-learning-for-software-engineers: A complete daily plan for studying to become a machine learning engineer. https://github.com/ZuzooVn/machine-learning-for-software-engineers/blob/master/README.md 111 comments
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- notes/Machine Learning.md at master · brylevkirill/notes · GitHub https://github.com/brylevkirill/notes/blob/master/Machine%20Learning.md 8 comments
- GitHub - visenger/awesome-mlops: A curated list of references for MLOps https://github.com/visenger/awesome-mlops 2 comments
- How to build TRUST in Machine Learning, the sane way | by Eyal Trabelsi | Bigabid’s Brain | Medium https://medium.com/bigabids-dataverse/how-to-build-trust-in-machine-learning-the-sane-way-39d879f22e69 0 comments
- A tiny zine about machine learning https://jvns.ca/blog/2017/01/20/a-tiny-zine-about-machine-learning/ 0 comments
- The 5 Components Towards Building Production-Ready Machine Learning Systems — James Le https://jameskle.com/writes/testing-and-deployment 0 comments
- Nathan's AI newsletter: Jan-Mar 2017! | Revue https://www.getrevue.co/profile/nathanbenaich/issues/nathan-s-ai-newsletter-jan-mar-2017-42746 0 comments
- Organizing machine learning projects: project management guidelines | by Gideon Mendels | Comet | Medium https://medium.com/comet-ml/organizing-machine-learning-projects-project-management-guidelines-2d2b85651bbd 0 comments
- Transitioning from Software Engineering to Artificial Intelligence | by Emmanuel Ameisen | Insight https://blog.insightdatascience.com/preparing-for-the-transition-to-applied-ai-d41e48403447 0 comments
- A profiling adventure to speed up Go | by Stephen Whitworth | Ravelin Tech Blog https://syslog.ravelin.com/a-profiling-adventure-to-speed-up-go-5cfa198759db#.36om4erfo 0 comments
- Over 200 of the Best Machine Learning, NLP, and Python Tutorials — 2018 Edition | by Robbie Allen | Machine Learning in Practice | Medium https://medium.com/machine-learning-in-practice/over-200-of-the-best-machine-learning-nlp-and-python-tutorials-2018-edition-dd8cf53cb7dc 0 comments
- GitHub - ZuzooVn/machine-learning-for-software-engineers at producthunt https://github.com/ZuzooVn/machine-learning-for-software-engineers?ref=producthunt 0 comments
- GitHub - sderosiaux/every-single-day-i-tldr: A daily digest of the articles or videos I've found interesting, that I want to share with you. https://github.com/sderosiaux/every-single-day-i-tldr 0 comments
- AI Diary #3 — BERT, MELD, DepecheMood++, Future of AI and NLP, Anthropomorphism in AI,… | by elvis | DAIR.AI | Medium https://medium.com/@ibelmopan/ai-diary-3-bert-meld-depechemood-future-of-ai-and-nlp-anthropomorphism-in-ai-d749c2c0333f 0 comments
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