Zum Hauptinhalt springen
Dekorationsartikel gehören nicht zum Leistungsumfang.
Programming ML.NET
Taschenbuch von Dino Esposito (u. a.)
Sprache: Englisch

49,25 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 1-2 Wochen

Kategorien:
Beschreibung

With .NET 5's [...] and Programming [...], 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 [...], the machine learning pipeline, and real-world machine learning solutions development.

  • Modeled on Esposito's popular Programming [...] books
  • Use the same scenario-based approach Microsoft's team used to build the [...] framework itself
  • Discover [...]'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 [...] neural networks
  • Leverage powerful Python-based machine learning tools in the .NET environment

Programming [...] 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 [...] and Programming [...], 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 [...], the machine learning pipeline, and real-world machine learning solutions development.

  • Modeled on Esposito's popular Programming [...] books
  • Use the same scenario-based approach Microsoft's team used to build the [...] framework itself
  • Discover [...]'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 [...] neural networks
  • Leverage powerful Python-based machine learning tools in the .NET environment

Programming [...] 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.

Über den Autor

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.

Inhaltsverzeichnis

CHAPTER 1 Artificially Intelligent Software

CHAPTER 2 An Architectural Perspective of [...]

CHAPTER 3 The Foundation of [...]

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

Details
Erscheinungsjahr: 2022
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780137383658
ISBN-10: 0137383657
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Esposito, Dino
Esposito, Francesco
Hersteller: Pearson Education (US)
Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 228 x 185 x 15 mm
Von/Mit: Dino Esposito (u. a.)
Erscheinungsdatum: 23.05.2022
Gewicht: 0,464 kg
Artikel-ID: 119696374
Über den Autor

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.

Inhaltsverzeichnis

CHAPTER 1 Artificially Intelligent Software

CHAPTER 2 An Architectural Perspective of [...]

CHAPTER 3 The Foundation of [...]

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

Details
Erscheinungsjahr: 2022
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780137383658
ISBN-10: 0137383657
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Esposito, Dino
Esposito, Francesco
Hersteller: Pearson Education (US)
Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 228 x 185 x 15 mm
Von/Mit: Dino Esposito (u. a.)
Erscheinungsdatum: 23.05.2022
Gewicht: 0,464 kg
Artikel-ID: 119696374
Sicherheitshinweis