Schedule — iidata | Winter 2017
 

Note: If you are attending workshops or participating in competitions, make sure to bring your laptop!


Tech Talk Descriptions

Cisco

Big Data in the Supply Chain and Manufacturing : In this talk, Anup Rao will introduce how Cisco uses big data platforms and data science in the area of Supply Chain Management and Manufacturing. Specifically use cases and examples in the area of product costing and forecasting, backlog management, product testing and digital thread will be discussed.

Lumo Bodytech

Data Science at a Startup : Lumo Bodytech is a motion science company that combines sensor data with advanced algorithms to optimize human movement for better health, performance, and injury prevention. As a startup, overcame many challenges around building their data infrastructure. In this talk, they will share their experiences with data engineering and which unique analytics and machine learning projects have had an impact on their product and business.

TrueAccord

Competitive Machine Learning as a way to improve your chances to get a Data Science jobThe specifics of Competitive Machine Learning will be discussed and compared to the Machine Learning in industry and academia. Skills obtained through Competitive Machine Learning may benefit your academic performance and / or help you find a good Data Science job. The examples will include several machine competitions hosted at Kaggle.com.

River City Bank

Business of Banking and Applications of Data Science

Machine Intelligence Research Institute (MIRI)

Existential AI Risk : How should algorithms reason about algorithms?  In this talk, Andrew Critch will present a new algorithm which provably reasons well about other algorithms and mathematical questions more generally, using Brouwer's fixed point theorem and a particular stock-market-like mechanism.  This work is part of a growing research effort to prepare for the existence of highly intelligent AI systems in the future, and there remain many open technical problems whose solutions could help ensure the co-existence of human beings with increasingly automated economies.  These range from developing learning algorithms that are more amenable to human feedback and context changes, to bargaining mechanisms for ensuring peaceful joint ownership of powerful AI systems, to further theoretical results on how algorithms should safely reason about other algorithms.


Register today on Eventbrite to claim your ticket into the convention! Heads up--it's free :)

 
 
 
 
 

Participate in iidata competitionsthe highlight of the convention! Tackle data science problems in a constrained amount of time.

General qualifications: Team sizes are 1-5 people; Undergraduate and Masters students only.

Forward questions to iidatacompetitions@ucdavis.edu

 

 
    Applications are now closed. Final teams will be emailed shortly.

    Applications are now closed. Final teams will be emailed shortly.

Timed Analysis Competition (on - site)

Competitors will be expected to do basic data cleaning techniques to answer questions tailored to different skill levels (Novice and Expert)Get ready for 3 hours of non-stop hacking!

Top teams in Expert level will be eligible for prizes.

  • Novice: one or more upper-division Statistics/data analysis course, experience with basic data analysis in R/Python/etc.
  • Expert: semi-comprehensive understanding of data science concepts, machine learning, programming experience
 
 
Applications are now closed.

Applications are now closed.

Predictive Modeling Competition (long - term)

The PMC tests your prediction and self-learning skills. If you are interested in answering a complex but fascinating prediction question, sign up! No prerequisites are required  we encourage everyone to apply!

On Jan 11, 2017, we will officially be releasing the data set to the public.Your team will have until Feb 1st to predict your findings. Top 5 finalists will be invited to present their models on the day of the convention for prizes!

Recommendations: Experience with R or Python, understanding of basic statistical concepts

See how the competition is doing!

 
predict2 logo.png
 
 
 

Research Exhibition

Ambitious undergraduates will be provided the chance to showcase their statistical or data-science research to an esteemed panel of expert judges as well as the general public on the day of.

  • Students from other universities are encouraged to participate
  • Research need NOT yet be publishable by the time of the event. Works in progress/preliminary studies are acceptable.
  • Only Undergraduates and Masters students may partake in this event.

Email iidatacompetitions@ucdavis.edu if you are interested in participating. Please include your research topic, a brief description, your team members, and school.