There are so many good talks happening at the same time that it’s impossible to not miss out on good sessions. But imagine I had a time-turner necklace and could actually “attend” 2 (maybe 3) sessions happening at the same time. Taking into account my current personal interests and tastes, here’s how my day would look:
10:40 a.m.
- Machine Learning for Machine Data
- First look at ggvis: Expressing Yourself in R
- Probabilistic Programming: What, Why, How, and When
11:30 a.m.
- The IPython Notebook: Get Close to Your Data with Python and JavaScript
- Big Industrial Internet Data: Connecting and Optimizing at New Scales
- Open Source Big Data for Defense
1:30 p.m.
- Querying Petabytes of Data in Seconds
- Graph Analysis with One Trillion Edges on Apache Giraph
- Back-to-back 20 minute talks: Graph All The Things! (11 Graph Database Use Cases That Aren’t Social) and The Last Mile (Challenges and Opportunities in Data Tools)
2:20 p.m.
- Session with Ben Fry – the co-creator of Processing
- Big Data for Better Data Centers
- From 2:40 -3 p.m.: Movie Reconstruction from Brain Signals (“Mind-Reading”) => Bin Yu is Chancellor’s Professor in the Departments of Statistics and of EECS at Berkeley.
4 p.m.