Top Tweets for #MLOPS2020
Check out the full post for the details of the talks! https://t.co/DAGJSIQ6uC @TMLS_TO
(13/13) βοΈπ #MLOps2020
I recently attended the inaugural #MLOps2020 conference that explores the best practices, methodologies, and principles of effective #MLOps. This thread summarizes the content from the talks that I attended during this conference.
(1/13) π
What I Learned From Attending #MLOps2020 Production and Engineering World - https://t.co/faQlV1YZTw
#conference #industry #machinelearning #metrics #softwaredevelopment
Thank you for joining us at #MLOPS2020!
We will keep you all updated when the recorded talks and slides are available from our wonderful speakers!
A great talk taking place by @donwardpeng providing insight on the use cases and opportunities for EdgeAI!
Don has provided various samples of code and explanations to captivate many curious minds!
#MLOPS2020
Now that #MLOPS2020 is nearing to an end, itβs time to share some of the takeaways and themes from this conference. The focus of the talks was on how to successfully bring Machine Learning (ML) projects to production and keep them running reliably. threadπ
@andronovhopf
Using Git, Github Actions and DVC to trigger CI/CD pipeline anytime when the code/data changes, to train ML models as well as to document reports in Pull Request. Interesting!
#mlops2020
That was fun today. The boys and girls at #MLOPS2020 are doing a great job for keeping the community together. I am glad I did my bit by contributing our 0.02 cents of "wisdom".
How F.A.T. (Fair, Accountable Transparent) is your ML Model?
@ykanellopoulos is discussing the quality in the era of Software 2.0 and explaining the concept of F.A.T. in relation to your ML model.
#MLOPS2020
Elle O'Brien is currently explaining the adaptation of continuous integration and continuous delivery for ML at #MLOPS2020!
From explaining DVC to providing great examples - a very interesting talk with @andronovhopf taking place right now!
Thank you @TMLS_TO for having us today at MLOps: Production and Engineering World 2020 to talk about #Investments in #AI.
#DCProud #MLOPS2020 @abbaspeaks
Dean Wampler from @anyscalecompute is providing great insight into Ray and how it enables easier DevOps.
#MLOPS2020
@eviltricky and @karthikkuber from @loblawco are on stage now discussing MLOps at Loblaw!
#MLOPS2020
@IraIracohen is providing great insight towards monitoring Machine Learning and scalable monitoring of machine learning models in production environments!
#MLOPS2020
Yikes, it can be expensive when ML models go wrong. @IraIracohen gave an example in #MLOPS2020 of a company that burned $300K in 10 hours due to a bidding algorithm that went wrong.
Great talk taking place with @mgurmendez and @jbuquet explaining smart data products: from prototype to production!
#MLOPS2020
Data Pipeline Debt
- Undocumented
- Untested
- Unstable
#mlops2020
We are getting started with Alice Gibbons & Hubert Duan from @Microsoft discussing MLOps at scale: predicting bus departure times using 18,000 ML models.
#MLOPS2020
MLOps2020γ³γγ₯γγγ£γ§γγ£γ‘γι’η½γγγͺMeetupθ¦γ€γγγ
**Agenda**
1. Create a Kubernetes cluster
2. Install KubeFlow, Airflow, TFX, and Jupyter
3. Setup ML Training Pipelines with KubeFlow and Airflow
4. Transform Data with TFX Transform
...
https://t.co/lyeBMBbMMd
#mlops2020
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