Top Tweets for #holoclean
Excited to share our experiences of how data management principles like data validation and IO-aware data processing lead to industry-ready AI systems like #holoclean #saga and #marius
Don't miss @thodrek's inaugural lecture "Is Data Management the key to successful AI Systems?" at 17.15 tomorrow, Wednesday. Details: https://t.co/cVsqSxf2Nh
Check out Professor @ihabilyas work with #holoclean featured @MLOpsWorld and @TMLS_TO related to the topic of data cleaning and labelling using #MachineLearning There's always a better way.
A new study found that the datasets used to train machine learning models are often labeled according to drastically different standards. https://t.co/WwluODxRjl
We're honored to have Professor @ihabilyas joined us at #MLOpsWorld2021 to briefly describe the #HoloClean framework for structured data prediction as well as #Kamino, a system that learns HoloClean models privately and uses them to synthesize "useful" private #data instances.
An exciting Wednesday at @SIGMOD2020: Do not miss @ihabilyas sharing our #inductiv story (Industry Panel on Startups) and Yunjia Zhang(@YunjiaZhang6) explaining how to discover meaningful data dependencies that can help automate data quality ops (Session: Research 9). #holoclean
Thank you Jeff (@the_prion) for hosting me on @software_daily to talk about data quality ops with #holoclean
https://t.co/njd1p4IL4H
HoloClean: Data Quality Management with Theodoros Rekatsinas @thodrek @UWMadison https://t.co/Gr8qsoixGX
Congrats to my student @Mina_Farid for successfully defending his PhD Thesis today on Extracting and Cleaning RDF Data #holoclean #datacleaning Proud of you Mina! @WaterlooMath
Can statistics really close the book on Functional Dependency discovery? Find out in our #SIGMOD2020 paper on using robust structure learning to find data quality rules from noisy data https://t.co/uTP6rVT4Of #holoclean @wiscdb
Great to hear about the new #Holoclean work from @thodrek this morning at the #MLOps workshop. Check out how to automate data quality ops here: https://t.co/XFqHytMSTK
@thodrek talking about #Holoclean and how to treat data cleaning as inference against data and errors generation models at MLSys Workshops @WaterlooMath #inductiv
Excited about #MLSys! Looking forward to attending the workshops https://t.co/es7fqhGZvv (w. @rherbrich), presenting our work on attention-based imputation w. @ihabilyas https://t.co/spFz8rc0eZ, and talking about automating data quality ops with #holoclean https://t.co/pRk7IjmmLO
Great summary of the Adobe first Academic Data Symposium https://t.co/cdUBrtmdlS, where I discussed data cleaning challenges #holoclean @WaterlooMath @AdobeExpCloud. Thanks Shivakumar Vaithyanathan for the invitation!
Talking soon in a panel on data quality and data insights at the Citi Ventures Technology Summit and how #holoclean can automate data quality pipelines. Thanks Vishnu @midtownninja for the invitation @WaterlooMath
Learn about the #HoloClean framework, a prediction engine for structured data with direct applications in detecting and repairing data errors, in this @OReillyAI London highlight from @ihabilyas https://t.co/njO2WKGltv
Great turnout for my talk @OReillyAI today on #holoclean and AI for automating data cleaning. @WaterlooMath
Very excited about @ihabilyas' talk at O'Reilly AI London next Thursday on #HoloClean! Attend his keynote to learn how modern Machine Learning is changing data infrastructure. https://t.co/7y0tL6wL8z
Very excited about @ihabilyas' talk at O'Reilly AI London next Thursday on #HoloClean! Attend his keynote to learn how modern Machine Learning is changing data infrastructure. https://t.co/7y0tL6wL8z
Thanks for the shoutout @bigdata on #HoloClean! An excellent overview of how Machine Learning is changing data infrastructure https://t.co/thQBYNzueY! #StrataData
Robust decisions require clean data! #holoclean Presenting new theoretical results and new structured prediction methods for automated data cleaning with low-error guarantees this Thursday at #UAI2019. Work w. Alireza and @ihabilyas
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