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Ron Lyle Dagdag

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titleconferencedate
How to Test AI Features Before Your Users DoCommit Your Code 20262026-09-02
A lightweight eval loop is built around an anonymized knowledge assistant in Microsoft Foundry that catches three concrete failures: unsupported claims…
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Predicting the future (of equipment) using ML.NETCommit Your Code 20252025-09-25
Claim: predictive maintenance models are trainable end to end with ML.NET using CSV telemetry and run locally as an inferencing runtime. The demo uses ML.NET…
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talks about being a good AI CoachCommit Your Code 20242024-12-05
Claim: being a good AI coach means giving the model the right context and toolset, not vague prompts. The concrete workflow is prompt engineering then…
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Making neural networks run in browser with ONNXNDC Melbourne 20222022-06-20
ONNX provides a portable model format plus runtimes so a model trained in PyTorch/Keras/ML.NET can be exported (torch.onnx / onnx‑mltools), inspected with…
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Developing Spidey SensesNDC Melbourne 20222022-06-20
Shows how to detect time-series anomalies from JavaScript using Azure Anomaly Detector (REST + Node SDK app-azure-ai-anomalydetector) with a minimum 12-point…
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Developing "spidey sense"JSWORLD Conference 2022 Online2022-02-09
Demo runs on a Raspberry Pi with a Sense HAT, Node (Jupyter/tslab) and the stats-analysis npm, collecting minutely time series and sending batches to Azure…
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Leverage Power of Machine Learning with ONNXConf42 Machine Learning 20212021-07-29
Shows converting a small ML.NET linear regression trained on a 13‑row salary CSV into an ONNX file, then running inference from Python with ONNX Runtime to…
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Men from Mars, Women from Venus: both can code .NET in JupyterAzConf 20202020-11-24
Installs .NET Core, JupyterLab and .NET Interactive on a Raspberry Pi and runs C#, F# and PowerShell kernels on ARM Linux, reads Sense HAT sensors via the .NET…
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Leverage Power of Machine Learning with ONNXAll Things Open 20202020-10-19
Claims that ONNX is an interoperable model format and shows concrete proofs: a demo export ML.NET to ONNX and run ONNX in Python and Node that produces correct…
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