Machine Learning para devs com ML.NET
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This document provides an overview of machine learning and ML.NET, a cross-platform machine learning framework for .NET developers. It defines machine learning as a field that allows computers to learn without being explicitly programmed. It then discusses ML.NET, describing it as an open source framework that makes custom machine learning easy using tools like the ML.NET Model Builder. It also provides examples of how ML.NET is used internally by Microsoft products and externally by customers.
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Machine Learning para devs com ML.NET
- 1. Machine Learning para devs com ML.NET @LetticiaNicoli
- 2. Olá! Eu sou a Letticia Nicoli o Software Engineer no @Nubank o Microsoft MVP – Xamarin, .NET o Organizadora do @High5Devs o Cursando MBA em AI & ML @LetticiaNicoli
- 3. Machine Learning O que é essa “buzzword”?
- 4. “ Campo de estudo que dá aos computadores a habilidade de aprender sem serem explicitamente programados.
- 6. Datasets ML model ML model App/tools for training the ML model End-user app using the ML model Prepare your data Build & Train Run Model Creation Model Consumption Machine Learning Workflow
- 7. ML.NET ■ Um framework para machine learning open source e cross-platform. http://dot.net/ml Built for .NET developers Custom ML made easy with tools Extended with TensorFlow & more Trusted & proven at scale C# F#
- 8. DESKTOP CLOUDWEB MOBILE ML .NET Your platform for building anything IoTGAMING
- 9. § Frameworks suportados: ○ .NET Core (Natively) ○ .NET Framework (Natively) ○ Python with NimbusML (Python bindings) ML.NET runs anywhere
- 10. A few things you can do with ML.NET … And more! Samples @ https://github.com/dotnet/machinelearning-samples
- 11. Formas de utilizar o ML.NET C# ML.NET API (Code) ML.NET Model Builder (Visual Studio UI) >_ ML.NET CLI (Command-Line Interface)
- 12. ML.NET Model Builder • Interface simples para criação de modelos com AutoML; • Carregamento de arquivos e banco de dados; • Geração de código para treinamento e consumo. http://aka.ms/mlnetmodelbuilder AutoML: Classificação binária, multi-classe e regressão
- 13. ML.NET CLI • Criação de modelos com AutoML; • Cross platform (Windows, Linux, MacOS); • Geração de código para treinamento e consumo. > mlnet auto-train --ml-task binary-classification --dataset "customer-reviews.tsv" --label-column-name Sentiment macOS / Linux (Bash) Windows (PowerShell e CMD)
- 15. Alta performance e acurácia
- 16. Microsoft Defender – Antivirus Threat Protection Power Point - Design Ideas Excel - Chart Recommendations Bing - Ad Predictions Azure ML Studio – Multiple components Azure Stream Analytics - Anomaly Detection Brenmor – Medical patient survey classification Sig Parser – E-mail spam detection Williams Mullen – Law document classification Evolution Software – Hazelnut drying time prediction endjin – Newsletter article classification Microsoft Products (Using ML.NET internally for > 8 years) Customers (ML.NET v1 since May 2019)
- 17. Outras features importantes no ML.NET • DevOps & ML Model lifecycle with Azure DevOps CI/CD pipelines • Model Explainability and Feature input variables importance • Cross-validation of ML.NET models: • Loading data from ‘anywhere’ through the LoadFromEnumerable() method • Using huge and sparse datasets (thousands or millions of columns) • Deploy ML.NET model into high scalable and multi-threaded ASP.NET Core apps and services • Deploy ML.NET model into an Azure Function • Plus many more ML Tasks and scenarios (see samples here: https://github.com/dotnet/machinelearning-samples ) such as: Sentiment analysis, Spam detection, Fraud Detection, text classification, products recommendations, data spike detection, clustering, ranking results, etc. https://aka.ms/mlnetyoutube Check out many of those scenarios at the ML.NET YouTube playlist: