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Simplified Machine Learning for Developers with ML.NET (ALT.NET User Group)
- 1. Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me v5
- 2. ALT.NET Melbourne User Group 2019 Machine Learning Simplified for Developers with ML.NET Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 3. SSW Senior Software Architect Jernej Kavka (JK) @Jernej_kavka https://github.com/jernejk https://jkdev.me https://opencollective.com/jernej-kavka Focusing on .NET Core and Cognitive Services Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 4. Real-time Face Recognition With Microsoft Cognitive Services
- 5. My story ML.NET Model Builder What is machine learning Table of Contents
- 6. My goal Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me POS AUTHORISATION DOTNETFOUNDATION ORG REDMOND WA Card Used 0082 COFFEE 7 Melbourne Audible Australia Melbourne Investment Food & Drink Education
- 7. Azure ML POS AUTHORISATION DOTNETFOUNDATION ORG REDMOND WA Card Used 0082 COFFEE 7 Melbourne Audible Australia Melbourne Investment Food & Drink Education
- 8. Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 9. Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 10. My goal Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me POS AUTHORISATION DOTNETFOUNDATION ORG REDMOND WA Card Used 0082 COFFEE 7 Melbourne Audible Australia Melbourne Investment Food & Drink Education
- 12. ML.NET • MS machine learning SDK that works offline • Simple yet powerful • Used in PowerBI, Outlook, Visual Studio… • Support major ML models • TensorFlow • ONNX • Awesome samples on GitHub • https://github.com/dotnet/machinelearning-samples Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 13. My story ML.NET Model Builder What is machine learning Table of Contents
- 14. Machine Learning process Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me Improve Data Training data Model ML Training Desktop and mobile Web IoT Feedback Usage
- 15. Multi-class Classification Binary Classification Classification Regression Supervised Learning (labelled data) Machine Learning Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me Training data: 🍎 => Apple 🍐 => Pear 🍇 => Grape Apple Apple price over time Is it a fruit? Yes No
- 16. Multi-class Classification Binary Classification Dimensio Reduction Clustering Unsupervised Learning (unlabelled data) Classification Regression Supervised Learning (labelled data) Machine Learning Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me Training data: 🍎 => Apple 🍐 => Pear 🍇 => Grape Apple 🍐 🍇 Apple price over time Is it a fruit? Yes No Features: • Id • Color • Shape • Company • …
- 17. Try Fail Learn Repeat Multi-class Classification Binary Classification Reinforced Learning Dimension Reduction Clustering Unsupervised Learning (unlabelled data) Classification Regression Supervised Learning (labelled data) Machine Learning Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me Training data: 🍎 => Apple 🍐 => Pear 🍇 => Grape Apple 🍐 🍇 Apple price over time Is it a fruit? Yes No Features: • Id • Color • Shape • Company • …
- 18. Try Fail Learn Repeat Multi-class Classification Binary Classification Reinforced Learning Dimension Reduction Clustering Unsupervised Learning (unlabelled data) Classification Regression Supervised Learning (labelled data) Machine Learning Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me Training data: 🍎 => Apple 🍐 => Pear 🍇 => Grape Apple 🍐 🍇 Apple price over time Is it a fruit? Yes No Features: • Id • Color • Shape • Company • …
- 19. Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me Training algorithms Multi-class Classification Classification Supervised Learning (labelled data) Machine Learning https://docs.microsoft.com/en-us/dotnet/machine- learning/resources/tasks
- 20. https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 21. How do I start? • Start with a scenario Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 22. Scenarios • Is Tweet positive? • Binary classification • Categorize bank transactions • Multi-class classification • House price predictions • Regression • Product recommendation • Clustering Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 23. Caveats • ML is not magic • It won’t magically solve your problem • Understand your data • Guide ML toward right solution Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 24. Example You have traffic and incident data Reserve tow trucks ✔ Predict number of tow trucks needed on Friday ❌ Predict exact time and location when tow trucks are needed Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 25. My story ML.NET Model Builder What is machine learning Table of Contents
- 26. Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 27. ML.NET scenarios Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 28. Build model (acquire knowledge) Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me Training data Model ML Training
- 29. ML.NET Model Builder • Wizard built on top of ML.NET • Picks best trainer for given scenario and data • Can be different one as the data changes over time • Allows quick prototyping Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 30. https://dotnet.microsoft.com/apps/machinelearning-ai/ml-dotnet/model-builder Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 31. Let’s do it Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me POS AUTHORISATION DOTNETFOUNDATION ORG REDMOND WA Card Used 0082 COFFEE 7 Melbourne Audible Australia Melbourne Investment Food & Drink Education
- 32. Training data preparation Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me Manual classification
- 33. Training data (CSV) Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 34. Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 35. Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 36. Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 37. Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 38. Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 39. Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 40. Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 41. Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 42. Demo
- 43. Summary • Import CSV file • Tweak columns to get better results • Generate project with ML • Use ML model • Minor issues with small datasets Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 44. Goal achieved 🍾🎉 Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me POS AUTHORISATION DOTNETFOUNDATION ORG REDMOND WA Card Used 0082 COFFEE 7 Melbourne Audible Australia Melbourne Investment Food & Drink Education
- 45. Join the Conversation #melbaltnet @jernej_kavka https://jkdev.me
- 46. Thank you! https://jkdev.me @Jernej_kavka info@ssw.com.au www.ssw.com.au Sydney | Melbourne | Brisbane | Canberra | Gold Coast
Notas del editor
- Where and why ML.NET is being used. History? Alternatives. Cognitive Services, PowerBI, Google TensorFlow Where do you get ML.NET, show ML.NET GitHub, Model Builder
- Other Microsoft ML stuff? Cognitive Services Custom Machine Learning Custom Vision Azure Machine Learning ML.NET CNNX Where is ML.NET being used.
- Where and why ML.NET is being used. History? Alternatives. Cognitive Services, PowerBI, Google TensorFlow Where do you get ML.NET, show ML.NET GitHub, Model Builder
- Maybe split into Why and What.
- Introduction to training
- Maybe split into Why and What.
- Highlight the parts ML.NET can do. https://towardsdatascience.com/machine-learning-types-2-c1291d4f04b1
- Highlight the parts ML.NET can do. https://towardsdatascience.com/machine-learning-types-2-c1291d4f04b1
- Highlight the parts ML.NET can do. https://towardsdatascience.com/machine-learning-types-2-c1291d4f04b1
- Highlight the parts ML.NET can do. https://towardsdatascience.com/machine-learning-types-2-c1291d4f04b1
- Highlight the parts ML.NET can do. https://towardsdatascience.com/machine-learning-types-2-c1291d4f04b1
- Highlight the parts ML.NET can do. https://towardsdatascience.com/machine-learning-types-2-c1291d4f04b1
- Highlight the parts ML.NET can do. https://towardsdatascience.com/machine-learning-types-2-c1291d4f04b1
- Highlight the parts ML.NET can do. https://towardsdatascience.com/machine-learning-types-2-c1291d4f04b1
- Highlight the parts ML.NET can do. https://towardsdatascience.com/machine-learning-types-2-c1291d4f04b1
- Highlight the parts ML.NET can do. https://towardsdatascience.com/machine-learning-types-2-c1291d4f04b1
- Highlight the parts ML.NET can do. https://towardsdatascience.com/machine-learning-types-2-c1291d4f04b1
- Highlight the parts ML.NET can do. https://towardsdatascience.com/machine-learning-types-2-c1291d4f04b1
- Where and why ML.NET is being used. History? Alternatives. Cognitive Services, PowerBI, Google TensorFlow Where do you get ML.NET, show ML.NET GitHub, Model Builder
- Introduction to training
- Show website where to install it Tell a story