Azure AI and Machine Learning Materials
Collection of presentations and information resources related to Azure Machine Learning and the Azure AI offerings. Includes an in-depth 4-hour workshop for Azure ML Studio, a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflows on Azure. More presentations and use cases will be added in the following months -- stay tuned!
Workshops and Presentations
- May 27: Half-day Azure ML Studio workshop at the Houston Microsoft campus.
- June 1: 2-hour course (Business Applications of Machine Learning) for MIS students at University of Houston.
- September 19: QuickenLoans Tech Conference 2017 (Deploying Machine Learning Models on Azure: 3 Case Studies)
- October 7: Florida PyCon 2017
- October 14 : Code Camp NYC 2017
- October 25-27 : Jazoon TechDays Autumn 2017
- November 7-9 : Developer Week Austin 2017
- November 13-15 : DevReach - Bulgaria 2017
- November 18-19 : PyTexas 2017
- November 17-21 : OpenCamps NYC 2017 (Open-Source AI with Python and R)
- November 24-25 : CodeMotion Madrid 2017 (Top 10 Machine Learning Gotchas)
- November 27-30 : PyData NYC 2017
- February 1-2 : OpenHack - High Frequency Streaming Data
- February 22 : Microsoft Tech Summit - Frankfurt & Baden
- TBD: 3-hour workshop using Spark Core, Azure ML Studio, and DHT11 sensors for time series anomaly detection.
Additional Links
- Predictive Analytics for Smarter Houston City Services
- Azure ML Studio
- Data 4 Democracy: Women in Data Science Round Table
- Registration for IoT Anomaly Detection Workshop.
- Registration for Getting Started with ML Studio (archive)
Feel free to contact Paige Bailey if you have any questions, and stay tuned for updates!