Why is ML in the real world difficult? This newsletter brings together the best articles, news and papers. By @rish_bhargava and @nihit_desai.
Joined September 2020
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MLOpsRoundup retweeted
đź‘€ Join us on May 27th at 9am PT for a live event with @josh_wills (@WeaveGrid, Slack, Cloudera, Google) and @nihit_desai (Refuel, Meta, Linkedin) on building real world machine learning systems. Bring your q's!
us06web.zoom.us/webinar/regi…
MLOpsRoundup retweeted
Refuel.ai is sponsoring a limited number of seats in the upcoming MLOps course with @nihit_desai! Apply here: corise.com/course/mlops
MLOpsRoundup retweeted
I'll be speaking at the #DataAISummit in San Francisco this year! On drift, model monitoring and feedback for human-in-the-loop #MachineLearning systems
Check out the complete agenda (with a stellar lineup of keynotes and breakout sessions) here: databricks.com/dataaisummit/…
MLOpsRoundup retweeted
[New Post] The 2022 edition of Emerging Architectures for Data Infrastructure is out today!
We argue *platforms* are taking shape in the data ecosystem (though very early) - detailed architectures & analysis in the post
(w/ @martin_casado, @JenniferHli)
future.a16z.com/emerging-arc…
MLOpsRoundup retweeted
Data Science Weekly - Issue 410 - mailchi.mp/datascienceweekly…
MLOpsRoundup retweeted
I recently did an interview with @eugeneyan, where I share some thoughts on the machine learning infra and tooling ecosystem, and my experience building ML systems. You can check it out here: applyingml.com/mentors/nihit…
MLOpsRoundup retweeted
Despite the potential of machine learning, it still isn’t a mainstream business tool.
Better data-centric MLOps tooling can play a major role in making sure every machine learning project is successful. 👉 openview.vc/3k6DuG6
MLOpsRoundup retweeted
New research alert!
Our own @andrew_reed_r and @NishaMuktewar have been exploring the issue of detecting concept drift when the cost of obtaining labeled data to validate model performance is high.
Check out our latest report here: concept-drift.fastforwardlab…
MLOpsRoundup retweeted
Three excellent resources for mastering Machine Learning
cutt.ly/VWYL7Nv
#MachineLearning #Python
@mlmemoirs @machinelearnTec @inside_ai @mlopsroundup @gradientpub @jackclarkSF @DeepLearningAI_
@mrdbourke @paperswithcode @jjding99 @charlotte_stix
@Neural @AndyHorvitz
MLOpsRoundup retweeted
This article by @eugeneyan is a great summary of prevailing approaches for bootstrapping data for machine learning, and a playbook to apply these for real world usecases
Many machine learning papers and tutorials start from labeled datasets. But what if we don't have labels? How do we collect them?
Here we discuss semi-supervised learning, active learning, and weak supervision to bootstrap labels for your ML system.
eugeneyan.com/writing/bootst…
MLOpsRoundup retweeted
Towards a generalized robotics solution with reinforcement learning and Pieter Abbeel.
youtube.com/watch?v=l9pwlXXs…
MLOpsRoundup retweeted
Whom can you recommend to follow from the ML&AI community? Tag them!
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