RISE Camp will be held remotely this year on October 29-30.
 

RISE Camp ​is ​a bootcamp ​organized ​by ​the UC ​Berkeley ​RISELab ​where ​you ​can get exposure to research and ​hands-on ​experience ​with systems and technologies for ​emerging AI applications including reinforcement learning, prediction serving, agile ML development, context management, and AI security. ​

Questions? Please email: risecamp@cs.berkeley.edu

Agenda

DAY 1 – THURSDAY, OCTOBER 29th 2020 (All times in Pacific Daylight Time)

  • 9:00 – 10:15 AM:
    • Ray (Stephanie Wang) : Attendees will learn how to use Ray to build a scalable web app for movie recommendations based on online learning. Slides available here.
  • 10:15 – 10:30 AM: Break
  • 10:30 – 11:45 AM:
    • Modin (Devin Petersohn): Attendees will learn how to use Modin in different environments, and the key components of the system. Slides available here.
  • 11:45 – 12:45 PM: Lunch with Office Hours (Prof. Ion Stoica)
  • 12:45 – 2:00 PM:
    • Autopandas (Rohan Bavishi): Attendees will learn how a rich specification that goes beyond input-output examples can be both convenient and easier to provide, and still benefit synthesis of table transformations. The tutorial will include a demonstration of our special UI to support this specification and some example tasks we can solve using the UI. Slides available here.
  • 2:00 – 2:15 PM: Break
  • 2:15 – 3:30 PM:
    • NBsafety (Stephen Macke): Attendees will learn how NBSafety can make it easier to reason about out-of-order execution in notebooks (thereby avoiding a common class of bugs that commonly occur in notebook environments) by highlighting cells with fresh / stale variables.

DAY 2 – FRIDAY, OCTOBER 30th 2020 (All times in Pacific Daylight Time)

    • 9:00 – 10:15 AM:
      • MC2 (Chester Leung): Attendees will learn how to use MC2 for secure collaborative learning. That is, mutually distrustful data owners can use MC2 to jointly train a model on their data, but without revealing their individual data to each other.
    • 10:15 – 10:30 AM: Break
    • 10:30 – 11:45 AM:
      • ERDOS (Sukrit Kalra): Attendees will learn how to develop a planning component for an autonomous vehicle and drive it in simulation. Further, the tutorial will also show how the ability of ERDOS to dynamically adapt to the environment allows an autonomous vehicle to prevent accidents.
    • 11:45 – 12:45 PM: Lunch with Office Hours (MC2)
    • 12:45 – 2:00 PM:
      • AdaHessian and PyHessian (Amir Gholami and Zhewei Yao): Attendees will learn advanced analysis of neural networks by learning to compute second-order derivatives. The tutorial would then show how this could be used to (i) analyze the loss landscape of the model,  and (ii) how it could be used to achieve high accuracy training of different neural networks.
    • 2:00 – 2:15 PM: Break
    • 2:15 – 3:30 PM:
      • LUX  (Doris Lee): Attendees will learn how Lux supports fast and easy experimentation with data through visualizations seamlessly in their Jupyter notebooks.


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FAQs

What are the prerequisites for attendees of the RISE Camp?

  • “Modern” browser (Firefox, Chrome, Safari etc.)
  • Zoom account. PLEASE NOTE: All participants and hosts are now required to sign into a Zoom account prior to joining meetings hosted by UC Berkeley. Participants who do not have a UC Berkeley-provided Zoom account can use a Zoom account provided by their institution or create a free, consumer Zoom account (at https://zoom.us/freesignup/). If your company policies do not allow downloading Zoom on your laptop, please choose “Join from your browser” option when prompted. For best results, we recommend using Chrome with Zoom add-on
  • Experience programming in Python in notebook environment
  • Basic understanding of AI/ML concepts (e.g., training, validation, linear models)