Programming ML.NET

null

36,95 €

inkl. MwSt. und Versand · Lieferzeit 1–2 Werktage

Gesetzliche Gewährleistung: 2 Jahre · Details

Nur noch 1 verfügbar

Beschreibung

<p><strong>The expert guide to creating production machine learning solutions with [...]!</strong></p><p>[...] brings the power of machine learning to all .NET developers— and Programming [...] helps you apply it in real production solutions. Modeled on Dino Esposito’s best-selling Programming [...], this book takes the same scenario-based approach Microsoft’s team used to build [...] itself. After a foundational overview of [...]’s libraries, the authors illuminate mini-frameworks (“ML Tasks”) for regression, classification, ranking, anomaly detection, and more. For each ML Task, they offer insights for overcoming common real-world challenges. Finally, going far beyond shallow learning, the authors thoroughly introduce [...] neural networking. They present a complete example application demonstrating advanced Microsoft Azure cognitive services and a handmade custom Keras network— showing how to leverage popular Python tools within .NET.</p><p>14-time Microsoft MVP Dino Esposito and son Francesco Esposito show how to:</p><ul><li>Build smarter machine learning solutions that are closer to your user’s needs</li><li>See how [...] instantiates the classic ML pipeline, and simplifies common scenarios such as sentiment analysis, fraud detection, and price prediction</li><li>Implement data processing and training, and “productionize” machine learning–based software solutions</li><li>Move from basic prediction to more complex tasks, including categorization, anomaly detection, recommendations, and image classification</li><li>Perform both binary and multiclass classification</li><li>Use clustering and unsupervised learning to organize data into homogeneous groups</li><li>Spot outliers to detect suspicious behavior, fraud, failing equipment, or other issues</li><li>Make the most of [...]’s powerful, flexible forecasting capabilities</li><li>Implement the related functions of ranking, recommendation, and collaborative filtering</li><li>Quickly build image classification solut

Artikeldetails

EAN

9780137383658

Sprache

Englisch

Einband / Art

Taschenbuch

Maße

228 x 185 x 15 mm

Erscheinungsjahr

2022

Verlag / Hersteller

Pearson Education (US)