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We have 3 exciting invited talks from industry in my graduate CSE course titled "Data Systems for Machine Learning" (coursewebpage). The topics span ML deployment platforms, deep learning training platforms, and GPU acceleration for data science workloads. I'd like to open up these talks to the wider CSE and HDSI talks audiences. The full 3-talk […] Please join the UC San Diego Staff Association and Black Staff Association as we welcome Shola Richards to facilitate the discussion Addressing Anti-Blackness: How to Sustain a Culture of Inclusion, Equity, and Anti-Racism at UC San Diego. The highly engaging Addressing Anti-Blackness webinar will provide the audience with the information, strategies, and critical actions necessary to engage in this […] |
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How Not to Destroy the World with AIThe Institute for Practical Ethics speaker series featuring Stuart Russell of UC Berkeley has been rescheduled, and will take place Dec. 3 at 4 p.m.Registration is open >>In this third annual lecture of the Institute for Practical Ethics, Stuart Russell will briefly survey recent and expected developments in […] |
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Take a break from midterms and come meet your Data Science Student Representatives this Friday! Chat with the Reps and play some games to win awesome HDSI swag. Learn how to balance classes, get peer insight on finding research and internships, and talk about any other questions you'd like answered. Please RSVP through the link below to […]
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For the final Database Seminar of this quarter on Friday (Dec 4) at 3pm PT, we have another exciting external speaker, Alex Ratner. He is going to tell us about programmatic approaches to label data for modern ML/AI applications that reduce the burden of manual hand labeling. Please find the talk details and Zoom details […] |
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The last AI seminar of the Fall quarter will take place next Monday, Monday (Dec 7) from 12pm-12:50pm over Zoom (https://ucsd.zoom.us/j/99067937524). Our speaker is Babak Salimi. Looking forward! FYI: The recording and slides of the previous talks can be found here: https://shangjingbo1226.github.io/teaching/2020-fall-CSE259-AI-seminarTitle: Causal Inference for Responsible Data ScienceAbstract: Scaling and democratizing access to big data promises to provide meaningful, actionable information that supports decision-making. Today, […] |
2 events,Please join the UC San Diego Staff Association and Black Staff Association as we welcome Shola Richards to facilitate the discussion Addressing Anti-Blackness: How to Sustain a Culture of Inclusion, Equity, and Anti-Racism at UC San Diego. The highly engaging Addressing Anti-Blackness webinar will provide the audience with the information, strategies, and critical actions necessary to engage in this […]
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Abstract:The brain is often likened to a symphony, where 86 billion neurons are coordinating in an unfathomably complex electrochemical orchestra. However, our brains are more like a symphony without a conductor: there is no leader orchestrating those 86 billion neurons! Despite this apparent chaos, our brains usually just work (if we're lucky!). My research lab […] |
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Benjamin Smarr (UC San Diego) Wednesday, December 09, 2020 at 4:00 P.M. Abstract: Data Stories, the Information Reformation, and COVID-19 Personal, physiological data are becoming common. How do we pick information from this deluge of data? A deeper appreciation of the way biology makes use of time combine with the timeless human urge to share with […]
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Hello all, We hope you have had a safe and relaxing Thanksgiving break. I am reaching out on behalf of the Data Science Student Society’s Projects Committee. This quarter, we had a mix of in-house data science projects as well as industry collaborated projects. We would like to invite you to our project’s presentations on […] |
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A social event sponsored by the Caucus for Women in Statistics and the ASA Committee on Women in Statistics. Please join us on Friday, December 11 at 4 p.m. ET to reconnect with folx you met at WSDS and make new friends! There will be trivia games, games of chance, great conversation and more. Please […] |
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Abstract: Deep learning (DL) is revolutionizing many fields. Major web companies are heavily relying on DL-based analytics, and there is excitement among the wider industries and the sciences for adopting DL. However, adopting DL in real-world applications is a non-trivial task. DL practitioners often have to iterate through complex stages of 1) data sourcing, 2) […]
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Abstract: Machine learning (ML) over tabular data has become ubiquitous with applications in many domains. This success has led to the rise of ML platforms, including automated ML (AutoML) platforms to manage the end-to-end ML workflow. The tedious grunt work involved in data preparation (prep) reduces data scientist productivity and slows down the ML development […] |
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