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With .NET 5's ML.NET and Programming ML.NET, any Microsoft .NET developer can solve serious machine learning problems, increasing their value and competitiveness in some of today's fastest-growing areas of software development. World-renowned Microsoft development expert Dino Esposito covers everything students need to know about ML.NET, the machine learning pipeline, and real-world machine learning solutions development.
- Modeled on Esposito's popular Programming ASP.NET books
- Use the same scenario-based approach Microsoft's team used to build the ML.NET framework itself
- Discover ML.NET's dedicated mini-frameworks (GÇ£ML TasksGÇ¥) for specific classes of problems
- Draw on Esposito's personal experience to apply these problems in the real world
- Learn key concepts and realistic examples related to ML.NET neural networks
- Leverage powerful Python-based machine learning tools in the .NET environment
Programming ML.NET will help students add machine learning and artificial intelligence to their tool belt, whether they have a background in these high-demand technologies or not.
With .NET 5's ML.NET and Programming ML.NET, any Microsoft .NET developer can solve serious machine learning problems, increasing their value and competitiveness in some of today's fastest-growing areas of software development. World-renowned Microsoft development expert Dino Esposito covers everything students need to know about ML.NET, the machine learning pipeline, and real-world machine learning solutions development.
- Modeled on Esposito's popular Programming ASP.NET books
- Use the same scenario-based approach Microsoft's team used to build the ML.NET framework itself
- Discover ML.NET's dedicated mini-frameworks (GÇ£ML TasksGÇ¥) for specific classes of problems
- Draw on Esposito's personal experience to apply these problems in the real world
- Learn key concepts and realistic examples related to ML.NET neural networks
- Leverage powerful Python-based machine learning tools in the .NET environment
Programming ML.NET will help students add machine learning and artificial intelligence to their tool belt, whether they have a background in these high-demand technologies or not.
Dino Esposito is CTO and co-founder of Crionet, a company that provides innovative software and technology to professional sports organizations. A 16-time Microsoft MVP, he has authored 20+ books, including Introducing Machine Learning; and the Microsoft Press best-seller Microsoft .NET: Architecting Applications for the Enterprise.
Francesco Esposito holds a degree in Mathematics, is the co-author of Introducing Machine Learning, and lives suspended between the depth of advanced mathematics and the intrigue of data science. He currently serves as the Head of Engineering and Data at Crionet. As an entrepreneur he founded Youbiquitous, a data analysis and software factory, and KBMS Data Force, a startup in Digital Therapy and intelligent healthcare.
CHAPTER 1 Artificially Intelligent Software
CHAPTER 2 An Architectural Perspective of ML.NET
CHAPTER 3 The Foundation of ML.NET
CHAPTER 4 Prediction Tasks
CHAPTER 5 Classification Tasks
CHAPTER 6 Clustering Tasks
CHAPTER 7 Anomaly Detection Tasks
CHAPTER 8 Forecasting Tasks
CHAPTER 9 Recommendation Tasks
CHAPTER 10 Image Classification Tasks
CHAPTER 11 Overview of Neural Networks
CHAPTER 12 A Neural Network to Recognize Passports
APPENDIX A Model Explainability
| Erscheinungsjahr: | 2022 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 256 |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9780137383658 |
| ISBN-10: | 0137383657 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Esposito, Dino
Esposito, Francesco |
| Hersteller: | Pearson Education (US) |
| Maße: | 228 x 185 x 15 mm |
| Von/Mit: | Dino Esposito (u. a.) |
| Erscheinungsdatum: | 23.05.2022 |
| Gewicht: | 0,464 kg |
Dino Esposito is CTO and co-founder of Crionet, a company that provides innovative software and technology to professional sports organizations. A 16-time Microsoft MVP, he has authored 20+ books, including Introducing Machine Learning; and the Microsoft Press best-seller Microsoft .NET: Architecting Applications for the Enterprise.
Francesco Esposito holds a degree in Mathematics, is the co-author of Introducing Machine Learning, and lives suspended between the depth of advanced mathematics and the intrigue of data science. He currently serves as the Head of Engineering and Data at Crionet. As an entrepreneur he founded Youbiquitous, a data analysis and software factory, and KBMS Data Force, a startup in Digital Therapy and intelligent healthcare.
CHAPTER 1 Artificially Intelligent Software
CHAPTER 2 An Architectural Perspective of ML.NET
CHAPTER 3 The Foundation of ML.NET
CHAPTER 4 Prediction Tasks
CHAPTER 5 Classification Tasks
CHAPTER 6 Clustering Tasks
CHAPTER 7 Anomaly Detection Tasks
CHAPTER 8 Forecasting Tasks
CHAPTER 9 Recommendation Tasks
CHAPTER 10 Image Classification Tasks
CHAPTER 11 Overview of Neural Networks
CHAPTER 12 A Neural Network to Recognize Passports
APPENDIX A Model Explainability
| Erscheinungsjahr: | 2022 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 256 |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9780137383658 |
| ISBN-10: | 0137383657 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Esposito, Dino
Esposito, Francesco |
| Hersteller: | Pearson Education (US) |
| Maße: | 228 x 185 x 15 mm |
| Von/Mit: | Dino Esposito (u. a.) |
| Erscheinungsdatum: | 23.05.2022 |
| Gewicht: | 0,464 kg |
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