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Mastering Azure Machine Learning: From Fundamental to Deployment
Paperback
Publisher: Independently Published
Published: Jan 18 2025
Pages: 118
Weight: 0.37
Height: 0.25 Width: 6.00 Depth: 9.00
Language: English
- Beginners: Individuals new to machine learning who want a structured guide to mastering Azure ML's features while understanding fundamental ML concepts.
- Intermediate Practitioners: Those with some experience in ML who wish to deepen their knowledge of Azure ML's advanced capabilities, such as AutoML, distributed training, and pipeline orchestration.
- Professionals: Industry experts seeking insights into implementing scalable and efficient ML solutions in real-world scenarios.
What You Will Learn
The book's modular structure ensures a comprehensive learning experience:
- Foundations: Introduction to Azure ML, its architecture, and core capabilities.
- Model Development: Hands-on guidance for building and training models, including data preprocessing, experimentation, and hyperparameter tuning.
- AutoML and Responsible AI: Insights into automation, interpretability, and fairness to ensure ethical and impactful solutions.
- Advanced Techniques: Distributed training, embedding models, and working with large language models.
- Deployment: Real-world approaches to deploying, monitoring, and scaling ML systems on Azure.
- Case Studies and Best Practices: Success stories across industries and actionable best practices for leveraging Azure ML effectively.
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