Like all good things, Microsoft Connect /
Azure AI Conf / DevIntersections / has come to an end.
This year I was honored to deliver four talks to the great audience.
- Can You See Me Now? Computer Vision, You Can Do It. - with Daniel Egan, Microsoft
- Democratization of AI with Microsoft Cognitive Services
- A Lap around Algorithmic Bias, and AI’s Ethical Imperative
- Operationalizing AI – Portable ML Model Sharing across Enterprise
Slide Decks, links and code follows:
Slide Decks
Links from Machine Learning Optimization Talk
Deploying Machine Learning Models is Hard, But It Doesn’t Have to Be
https://www.anaconda.com/blog/developer-blog/deploying-machine-learning-models-is-hard-but-it-doesnt-have-to-be/
Data Science & Machine Learning Platforms for the Enterprise
https://blog.algorithmia.com/data-science-machine-learning-platforms-enterprise/
Algorithmia now helps businesses manage and deploy their machine learning models
https://techcrunch.com/2017/11/16/algorithmia-now-helps-businesses-manage-and-deploy-their-machine-learning-models/
ONNX Model Zoo: Developing a face recognition application with ONNX models
https://medium.com/apache-mxnet/onnx-model-zoo-developing-a-face-recognition-application-with-onnx-models-64eeeddb9c7a
Models and examples built with TensorFlow
https://github.com/tensorflow/models
eploy and Manage ML Models the Smart Way
https://algorithmia.com/
OpenML
https://www.openml.org/
How Algorithmia Built The Largest Marketplace For Algorithms In The World
https://www.forbes.com/sites/amitchowdhry/2018/01/22/how-algorithmia-built-the-largest-marketplace-for-algorithms-in-the-world/#2612479453fd
Intuitive Machine Learning for Engineers
A platform for discovering, sharing, and discussing easy to use and pre-trained machine learning models.
https://modeldepot.io/
Machine Learning & Artificial Intelligence
Build intelligent applications with machine learning and data science software
https://aws.amazon.com/marketplace/solutions/machinelearning/
Metrics to Evaluate your Machine Learning Algorithm
https://towardsdatascience.com/metrics-to-evaluate-your-machine-learning-algorithm-f10ba6e38234
New automated machine learning capabilities in Azure Machine Learning service
https://azure.microsoft.com/en-us/blog/new-automated-machine-learning-capabilities-in-azure-machine-learning-service/
An Overview of the Azure Machine Learning Marketplace https://azure.microsoft.com/en-us/resources/videos/an-overview-of-the-azure-machine-learning-marketplace/
MachineLearningDataSets
https://github.com/juanklopper/MachineLearningDataSets
Sharing your Python machine learning model
https://www.youtube.com/watch?v=p4e-dOGv4Tw
Links from Cognitive Services Talk
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/overview
https://azure.microsoft.com/en-us/services/cognitive-services/speaker-recognition/
https://azure.microsoft.com/en-us/services/cognitive-services/speaker-recognition/#identification
https://azure.microsoft.com/en-us/services/cognitive-services/directory/speech/
https://azure.microsoft.com/en-us/services/cognitive-services/face/#recognition
https://azure.microsoft.com/en-us/services/cognitive-services/face/#detection
https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision/#celebrities-landmarks
https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision/#analyze
https://azure.microsoft.com/en-us/services/cognitive-services/directory/vision/
https://azure.microsoft.com/en-us/services/cognitive-services/?v=18.44b&v=18.44b
https://github.com/Rodrigossz/Microsoft-AI-Links
https://www.how-old.net/#
https://github.com/Microsoft/Cognitive-Samples-IntelligentKiosk
https://azure.microsoft.com/en-us/solutions/architecture/
https://github.com/Azure-Samples/cognitive-services-dotnet-sdk-samples/tree/master/samples
Links from ONNX and Model Operationalization Talk
ONNX and Azure Machine Learning: Create and deploy interoperable AI models
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-build-deploy-onnx
https://github.com/onnx/models/tree/master/tiny_yolov2
https://github.com/onnx/tutorials
https://github.com/onnx/onnxmltools
https://github.com/Microsoft/onnxjs
https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/machine-learning/service/how-to-build-deploy-onnx.md
ONNX Model Zoo: Developing a face recognition application with ONNX models
https://medium.com/apache-mxnet/onnx-model-zoo-developing-a-face-recognition-application-with-onnx-models-64eeeddb9c7a
https://onnx.ai/getting-started
https://github.com/onnx/models
https://github.com/Microsoft/Windows-Machine-Learning
https://github.com/Azure-Samples/cognitive-services-dotnet-sdk-samples
