Tom Dietterich delivers a talk to the National Academies of Sciences, Engineering, and Medicine at a two-day workshop they organized on the capabilities and applications of artificial intelligence and machine learning for the intelligence community.
Here’s an interesting talk on CNTK, the Microsoft Cognitive Toolkit, and Deep Learning on Azure.
Slides and code are on GitHub.
Here’s a video from Google introducing the techniques you can use to represent features – including Bucketing, Crossing, Hashing, and Embedding – and other utilities TensorFlow uses to help you create features.
The video is worth a watch just for the walkthrough of using TensorFlow Estimators to classify structured data.
This video introduces Deep Learning with Microsoft Cognitive Toolkit (CNTK). The intended audience includes:
- Data scientists who are new to deep learning
- Machine learning scientists looking for advanced techniques
- Engineers looking for means to scale and leverage cloud computing in Azure
Here’s an overview of the new features and capabilities in the Azure Machine Learning Workbench application.
For more details, watch the session from Ignite 2017.
Fresh from the Ignite 2017 conference in Orlando, here is a great video on all the new features of Azure Machine Learning.
Most importantly, there’s great discussion of where ML Studio succeeded and what Azure Machine Learning will do better.