Azure Machine Learning [December 2021]
-
Frank
- December 8, 2021
- AI
- AI Insights
- artificial intelligence
- Auto ML
- AutoML
- Azure AI
- Azure Machine Learning
- Azure ML
- BlueGranite
- classification
- Data
- Data Science
- Databricks
- Jupyter
- Microsoft
- ML models
- Power BI
- Power BI AI
- power bi demo
- Power BI Machine Learning
- Power BI Premium
- power bi tutorial
- Power Query
- Python
- Swagger
Join Dr. Tom Weinandy and Nick Miller for a December session of Azure Machine Learning Immersion!
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Build a custom ML model with Vertex AI
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Frank
- July 1, 2021
- AI simplified
- AIsimplified
- build custom model
- build custom model vertex ai
- cloud developer
- cloud developers
- cloud vertex ai
- custom ml model
- custom ml models
- GDS: Yes;
- Google Cloud
- how to use Vertex AI
- introduction Vertex AI
- ML model
- ML models
- Vertex AI
- vertex ai custom model
- vertex ai custom models
- Vertex AI getting started
- vertex ai ml model
- vertex ai ml models
- Vertex AI tutorial
Google Cloud Tech’s Priyanka Vergadia explains how to build a custom ML model with Vertex AI.
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MLflow Model Serving in Databricks
Databricks MLflow Model Serving provides a turnkey solution to host machine learning (ML) models as REST endpoints that are updated automatically, enabling data science teams to own the end-to-end lifecycle of a real-time machine learning model from training to production. In this video from a Data + AI Summit Europe 2020 Meetup, Andre Mesarovic introduces […]
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ONNX and ONNX Runtime
What is the universal inference engine for neural networks? Microsoft Research just posted this video exploring ONNX. Tensorflow? PyTorch? Keras? There are many popular frameworks out there for working with Deep Learning and ML models, each with their pros and cons for practical usability for product development and/or research. Once you decide what to use […]
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