Paul Ogilvie retweeted
🚨 Do you use @MLflow autologging? Help us improve the experience by taking this quick, 6-question survey: forms.gle/qdWsWMdTce9o34QV6. #mlflow #autologging #machinelearning #databricks
Paul Ogilvie retweeted
Great news for @PyTorch developers who want to use @MLflow for end-to-end ML.
mlflow.org/news/2020/11/12/p…
Paul Ogilvie retweeted
NEWS: @MLflow becomes @linuxfoundation project: bddy.me/3gdqJ7B #ossummit #MLOps #datateams @databricks
Paul Ogilvie retweeted
We also have a big announcement for @MLflow today: it's joining the @linuxfoundation as a long-term vendor-neutral home to host the project! We've been blown away with how fast MLflow has grown and hope this leads to even more contributors. databricks.com/blog/2020/06/…
Paul Ogilvie retweeted
Join the team for an @MLflow AMA @SparkAISummit on Thursday at 4:30 PST. See you there with your questions. #DataTeams #SparkAISummit
databricks.com/sparkaisummit…
Paul Ogilvie retweeted
Big news! I’m starting a new journey at Databricks where Design is about to get HOT🔥. Hit me up if you wanna learn more about the team I’m putting together. link.medium.com/7FMBv8Etq4 – at San Francisco, CA
Paul Ogilvie retweeted
I'm co-organizing a workshop on MLOps Systems (together with @dedutta and Ce Zhang) at #MLSys 2020. We'd love to see position papers from researchers and industry on managing production ML applications. Submit your paper here: mlops-systems.github.io
Paul Ogilvie retweeted
Bay area data science/data engineering folks: Just a few seats left for the @MLflow meetup next week in SF @databricks HQ. Register now: meetup.com/Bay-Area-MLflow/e…
Paul Ogilvie retweeted
.@databricks is proud to be a gold sponsor at the Women in Product conference next week in #SanFrancisco!
Swing by our booth, and join us after the conference for happy hour (Jasper's Corner and Tap Room) to learn more about our current roles and opportunities. #19WIP
I help organize a closed meetup with teams in the SF Bay Area building their ML platforms. It isn't often that we get to give a peek inside of this event - kudos to @faisalzs for putting in the extra work to get these talks published! medium.com/netflix-techblog/…
Paul Ogilvie retweeted
There are a lot of #MLflow talks at @SparkAISummit Europe next month! Here's a guide to the upcoming talks: databricks.com/blog/2019/09/…
Paul Ogilvie retweeted
MLflow 1.2.0 is out today with performance and usability fixes! See what's new at github.com/mlflow/mlflow/rel… or pip install mlflow to get started.
Paul Ogilvie retweeted
My team at Databricks is hiring Sr. Engineers to work on #MLflow! Build the machine learning development platform that's already in use at thousands of organizations. databricks.com/company/caree…
Paul Ogilvie retweeted
Nice article on MLflow 1.0 from ZDnet: zdnet.com/article/ai-develop…
Paul Ogilvie retweeted
MLflow 1.0 is out today! Read a summary of the changes in this blog post: databricks.com/blog/2019/06/…. Thanks to everyone who helped test and contribute!
Paul Ogilvie retweeted
Check out our 'Guide to #MLflow Talks' at Spark + AI Summit 2019. Don't miss @matei_zaharia keynote, as well as real-life examples and deep dives from Comcast, ShowTime, GOJEK, RStudio, Databricks experts and more! dbricks.co/mlflowtalks
Paul Ogilvie retweeted
You can watch #MLFlow #Operator on @kubernetesio @openshift on youtube:
youtube.com/watch?v=Gux6NSNs…
- MLFlow Introduction by @maniparkhe (@databricks )
- MLFlow Operator on Kubernetes/OpenShift by @ZakHassan_YYZ (@RedHat)
@MLflowOrg @openshiftcommon @operatorhubio
Paul Ogilvie retweeted
Managed #MLflow is now in public preview on Databricks: databricks.com/blog/2019/03/…, integrated into the Databricks workspace and notebooks. You can sign up for a trial to use it on either AWS or Azure.















