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ML.NET: A Robust Framework for Implementing Machine Learning in.NET Environments

Exadel

Make predictions using your trained model var predictionEngine = ctx.Model.CreatePredictionEngine (trainedModel); var sampleStatement = new ModelInput() { Text = "This is a horrible movie" }; var prediction = predictionEngine.Predict(sampleStatement); You can find more examples on the dotnet/machinelearning-samples repository on GitHub.

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Gaining Deeper Insights of Data with Oracle OAC Machine Learning

Apps Associates

OACS #Analytics #MachineLearning #Oracle #SmartFeatures #DataScience #ExploratoryDataAnalysis #DataVisualisations. In my subsequent blog we shall create a model using one of the Binary Classifiers and apply it to the testing dataset of new customers to predict who are very likely to subscribe to the term deposit and also evaluate the model.

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Getting Started with Whisper: OpenAI’s Automatic Speech Recognition Tool

Perficient

Introduction Automatic Speech recognition: In the world of artificial intelligence, one of the most fascinating advancements is the ability to convert spoken language into written text.

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Knowing Your Model Performance, Simplified with Oracle OAC Machine Learning

Apps Associates

Introduction: In our previous blog, we were able to gain deeper insights into our data through exploratory data analysis and as a supplement we were also able to create a Data Visualization project with graphs generated from the Explain feature.

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The Emergence

Crafty CTO

” Over on Reddit r/MachineLearning , someone asked Is all the talk about what GPT can do on Twitter and Reddit exaggerated or fairly accurate? Question: “When will this AI stuff actually be useful?”; ”; Willison’s answer, “It already is!”