Advanced Machine Learning NET Applications

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Files Included :

01 - Advanced machine learning NET.mp4 (2.5 MB)
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02 - What you should know.mp4 (1.02 MB)
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01 - Collecting data correctly.mp4 (4.76 MB)
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02 - Utilize SME.mp4 (2.17 MB)
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03 - Data types and structure.mp4 (3.93 MB)
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04 - Business logic.mp4 (2.61 MB)
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05 - Outliers.mp4 (3.25 MB)
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06 - Biases.mp4 (2.06 MB)
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07 - Data cleansing tools.mp4 (2.39 MB)
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08 - Demo Checking data.mp4 (4.62 MB)
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01 - What is ONNX.mp4 (1.32 MB)
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02 - Set up the NET project for ONNX.mp4 (862.18 KB)
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03 - Create a model.mp4 (1.73 MB)
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04 - Generate an ONNX model.mp4 (1.57 MB)
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05 - Using Netron.mp4 (936.62 KB)
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06 - Demo Generate an ONNX model in Visual Studio.mp4 (7.68 MB)
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01 - Image recognition vs categorization.mp4 (2.57 MB)
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02 - What is TensorFlow.mp4 (1.86 MB)
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03 - Set up the NET project for TensorFlow.mp4 (2.21 MB)
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04 - Train the model.mp4 (1.56 MB)
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05 - Evaluate the model.mp4 (1.48 MB)
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06 - Demo Train a TensorFlow model in Visual Studio.mp4 (11.58 MB)
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01 - What is MLOps.mp4 (3.06 MB)
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02 - Retraining the model.mp4 (1.35 MB)
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03 - Versioning.mp4 (1.36 MB)
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04 - Source control.mp4 (3.26 MB)
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01 - Machine Learning Model not in the context menu.mp4 (1.42 MB)
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02 - Is 32-bit supported on Windows.mp4 (520.6 KB)
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03 - Ensure the app is targeting x64 or x86.mp4 (780.28 KB)
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04 - New project with a different build target.mp4 (1.06 MB)
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05 - Challenge Training and comparing ML NET models.mp4 (1.33 MB)
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06 - Solution Training and comparing ML NET models.mp4 (9.21 MB)
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01 - Next steps.mp4 (1.15 MB)
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