DevIntersection 2019 Orlando has concluded -- a great event with talks from Scott Hanselman, John Papa, and various other technology thought leaders on variety of technical topics. I had the honor and pleasure to present three different talks on the topics of AI and Machine Learning.
Following are the references, decks, and code samples.
Beyond Hello World - Common Machine Learning Use Cases with ML.NET
- Microsoft ML Getting Started
- Microsoft ML CLI
- What is ML.NET and how does it work?
- What If Demos
- ML.NET Tutorial
- Interpret ML - Nuget
- Microsoft ML Trainers
- What If COMPASS
Drive Intelligence from Text Comprehension in Enterprise Apps
- Stanford NLP 2019
- AllenNLP BIDAF
- COQA
- SQUAD
- BERT Illustrated
- OpenAI GPT-2
- Spacy
- Bidirectional Attention Flow for Machine Comprehension
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression
PyTorch for .NET Developers with Azure Machine Learning
- Tensorflow MNist
- Azure Machine Learning service training example
- Using Pytorch with Azure
- The Python Data Science Stack
- Train PyTorch models with Azure Machine Learning service
- Pytorch Tutorials
- Fashion MNIST
- World-class PyTorch support on Azure
Thanks to all the speakers and attendees to making it a successful event.
