Körner / Alsdorf Mastering Azure Machine Learning.

Execute large-scale end-to-end machine learning with Azure
2. Auflage 2022
ISBN: 978-1-80324-679-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 624 Seiten

No detailed description available for "Mastering Azure Machine Learning.".

Autoren/Hrsg.

Körner, Christoph

Alsdorf, Marcel

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

Table of Contents - Understanding the End-to-End Machine Learning Process
- Choosing the Right Machine Learning Service in Azure
- Preparing the Azure Machine Learning Workspace
- Ingesting Data and Managing Datasets
- Performing Data Analysis and Visualization
- Feature Engineering and Labeling
- Advanced Feature Extraction with NLP
- Azure Machine Learning Pipelines
- Building ML Models Using Azure Machine Learning
- Training Deep Neural Networks on Azure
- Hyperparameter Tuning and Automated Machine Learning
- Distributed Machine Learning on Azure
- Building a Recommendation Engine in Azure
- Model Deployment, Endpoints, and Operations
- Model Interoperability, Hardware Optimization, and Integrations
- Bringing Models into Production with MLOps
- Preparing for a Successful ML Journey

Über Autor(innen)

Körner Christoph:

Christoph Körner previously worked as a cloud solution architect for Microsoft, specializing in Azure-based big data and machine learning solutions, where he was responsible for designing end-to-end machine learning and data science platforms. He currently works for a large cloud provider on highly scalable distributed in-memory database services. Christoph has authored four books: Deep Learning in the Browser for Bleeding Edge Press, as well as Mastering Azure Machine Learning (first edition), Learning Responsive Data Visualization, and Data Visualization with D3 and AngularJS for Packt Publishing.Alsdorf Marcel:

Marcel Alsdorf is a cloud solution architect with 5 years of experience at Microsoft consulting various companies on their cloud strategy. In this role, he focuses on supporting companies in their move toward being data-driven by analyzing their requirements and designing their data infrastructure in the areas of IoT and event streaming, data warehousing, and machine learning. On the side, he shares his technical and business knowledge as a coach in hackathons, as a mentor for start-ups and peers, and as a university lecturer. Before his current role, he worked as an FPGA engineer for the LHC project at CERN and as a software engineer in the banking industry.