whylogs

🛑👀 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: bit.ly/41kcKFz #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⭐: bit.ly/3yVPyQA

whylogs: The open standard for data logging Lang: Jupyter Notebook ⭐️ 2096 Author: @whylabs #MachineLearning github.com/whylabs/whylogs

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! bit.ly/3IlV9WO

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: bit.ly/3GepSDQ

This week, @AndrewYNg, Founder of @DeepLearningAI, shared his thoughts on AI, privacy, and the cloud in #TheBatch! Read how #AI builders can work with sensitive data while also protecting privacy with @WhyLabs: bit.ly/3VKgrRq #ML #MachineLearning

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! bit.ly/3irvLUq #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: bit.ly/3yvcHJu #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! bit.ly/3TFfDeX #MLOps

Don't forget to register for the Intro to #AIObservability workshop on Wednesday!👇

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 👉bit.ly/rsqrdai #ResponsibleAI #Community

Do you ❤️ @whylogs? Show your love by helping us win a Noonies award for Best #OpenSource Project by @Hackernoon! It only takes a few seconds: bit.ly/3EaP3X1 #Noonies2022 #whylogs

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: bit.ly/3UeYKu #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 ⭐ 📺 🍿 bit.ly/3Ib0BId #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! bit.ly/3ADPplB

@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: bit.ly/3EaP3X1 #Noonies2022

@MishManners @grafana @fastifyjs @Prismal @teamcodestream Thanks for the shout-out @MishManners! 🚀

Congrats to @grafana, @fastifyjs, Pino, @whylogs, Git Stats, ZX, @prismal, @teamcodestream, Capri, & EvoBot for shipping major versions in June 🥳 github.blog/2022-07-27-rel… Working on July's RR now, and if you have a project shipping in August submit it: releaseradar.github.com

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: bit.ly/3oB8bEC

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: bit.ly/3yVPyQA #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: bit.ly/3PGMm2m #ML #DataTalks