🛑👀 Stop eye-balling #tSNE or #UMAP Plots to troubleshoot embeddings.
WhyLabs recently released features making it easier to monitor high dimensional #Embeddings data!
Learn how to stop exploring data by hand with a scalable approach: https://t.co/rRaW4qViBJ
#ML#DataScience
Saying "I love you" can be hard. But starring your favorite open source library? Easy.
This #ValentinesDay.. fall in love with #whylogs, an #opensource library for logging any kind of data.
Check out @whylogs on GitHub and give it some ❤️with a⭐: https://t.co/BxYtOL9gJi
Not only are we kicking off 2023 by passing 2,023 #whylogs GitHub stars, @tryolabs selected @whylogs as one of the Top 10 Python Libraries of 2022! ⭐
We look forward to continuing to build for the #Python and #DataScience community!
https://t.co/phCCd0iMMO
To build or buy an #MLMonitoring Solution❓
There is no one-size-fits-all solution when it comes to monitoring #ML models. We’ve written a guide to help you make the right decision with detailed discussions of both options!
Get your free copy now: https://t.co/5w2V3imF1Q
Re-imagine Data Monitoring with @whylogs and @ApacheSpark✨
Read how the #whylogs integration with #ApacheSpark can be used for large scale data profiling and how to easily apply the integration into existing data and #ML pipelines!
https://t.co/34U7J23Z84
#MLOps#OpenSource
Data Engineers, Machine Learning Engineers, & Data Scientists 👋
Bring the health of your data and models into focus faster!
Read about 5 ways to inspect data and models with @whylogs: https://t.co/v6VRf80nje
#MLOps#MLMonitoring#DataOps#DataScience
#MLMonitoring is easier than you think.
We’ll show you how to use @whylogs, an open source #DataLogging library, and @WhyLabs, an AI Observatory platform, to quickly monitor common issues with your #ML models!
https://t.co/AlkYa6TopG
#MLOps
Connect with #ML industry professionals, stay up to date on the latest Robust & Responsible AI events, share your projects, favorite tech news, and more by joining the @rsqrdai Community!
Join us now 👉https://t.co/KJZvUPmknL
#ResponsibleAI#Community
Managing distributed ML systems can be challenging.
Check out how @raydistributed users can integrate @whylogs into their architectures to easily monitor #ML models in production, even if they are running in a distributed environment: https://t.co/5jDyfjIW1d
#Ray#whylogs
A quick and easy-to-follow tutorial on how to get started with the @whylogs open source library in minutes! Watch the video now and try it for yourself by checking out our GitHub and don’t forget to give us a star ⭐
📺 🍿 https://t.co/wt7W2kgxd0
#OpenSource#DataLogging
⚡ Data Logging with @whylogs: Profiling for Efficiency and Speed ⚡
In this blog post, you'll see how generating summaries of your datasets, called #whylogs profiles, enables fast and efficient #DataLogging - even if your datasets scale to larger sizes!
https://t.co/bFDL2T2db7
@whylogs has been nominated for a Noonies Award for Best Open Source Project 🤩
This award from @hackernoon celebrates the #OpenSource ideas and initiatives that are making major impacts on the tech universe.
👉 Vote for #whylogs here: https://t.co/GtuZzBlDyL
#Noonies2022
The quality of your data matters. It's one of the most critical factors for success with #MachineLearning applications — and one of the most frequently overlooked.
Check out the blog from @sagecodes on how to easily validate data quality with @whylogs: https://t.co/KBVz65M5KU
whylogs is an #OpenSource library for logging any kind of data. With #whylogs, you can generate summaries of your datasets, called profiles that are:
⚡️ Efficient
🛠 Customizable
⏩ Mergeable
Learn more about #whylogs: https://t.co/hTqwbonTwZ
#DataLogging#DataOps
Tune in to @DataTalksClub's podcast on Friday to hear @dleybz chat with @Al_Grigor about his journey to becoming an #MLOps architect, what he does, and best practices he’s learned along the way!
🎙️ Register to attend the podcast live: https://t.co/4jZwxjVONV
#ML#DataTalks