Kolodiazhnyi Hands-On Machine Learning with C++

Build, train, and deploy end-to-end machine learning and deep learning pipelines
1. Auflage 2020
ISBN: 978-1-78995-247-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 530 Seiten

No detailed description available for "Hands-On Machine Learning with C++".

Autoren/Hrsg.

Kolodiazhnyi, Kirill

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

Table of Contents - Introduction to Machine Learning with C++
- Data Processing
- Measuring Performance and Selecting Models
- Clustering
- Anomaly Detection
- Dimensionality Reduction
- Classification
- Recommender Systems
- Ensemble Learning
- Neural Networks for Image Classification
- Sentiment Analysis with Recurrent Neural Networks
- Exporting and Importing Models
- Deploying Models on Mobile and Cloud Platforms

Über Autor(innen)

Kolodiazhnyi Kirill:
Kirill Kolodiazhnyi is a seasoned software engineer with expertise in custom software development. He has several years of experience building machine learning models and data products using C++. He holds a bachelor degree in Computer Science from the Kharkiv National University of Radio-Electronics. He currently works in Kharkiv, Ukraine where he lives with his wife and daughter.