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” 3 (maybe 5) sessions happening at the same time. Taking into account my current personal interests and tastes, here’s how my day would look:
11 a.m.
- The state of TensorFlow today and where it is headed in 2017
- Distributed deep learning on AWS using MXNet
- Don’t sleep on sleeper cells: Using big data to drive detection
- The evolution of massive-scale data processing
- The common anomaly detection platform at Microsoft
11:50 a.m.
- The Netflix data platform: Now and in the future
- Anomaly detection in real-time data streams using Heron
- Best practices for deep learning on Apache Spark
- Alluxio (formerly Tachyon): The journey thus far and the road ahead
- Trust your AI: High-precision explanations for the predictions of any machine-learning model
1:50 p.m.
- Hoodie: Incremental processing on Hadoop at Uber
- The power of persuasion modeling
- Building a sustainable content ecosystem at Pinterest
- The app trap: Why every mobile app needs anomaly detection
2:40 p.m.
- Organizing for data science: Some unintuitive lessons learned for unlocking value
- How Pinterest scaled to build the world’s catalog of 75+ billion ideas
- Malicious site detection with large-scale belief propagation
- DevOps for models: How to manage millions of models in production
4:20 p.m.