E-book details

Mastering Azure Machine Learning. Perform large-scale end-to-end advanced machine learning in the cloud with Microsoft Azure Machine Learning

Mastering Azure Machine Learning. Perform large-scale end-to-end advanced machine learning in the cloud with Microsoft Azure Machine Learning

Christoph Körner, Kaijisse Waaijer

Ebook
The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud.
The book starts with an overview of an end-to-end ML project and a guide on how to choose the right Azure service for different ML tasks. It then focuses on Azure Machine Learning and takes you through the process of data experimentation, data preparation, and feature engineering using Azure Machine Learning and Python. You'll learn advanced feature extraction techniques using natural language processing (NLP), classical ML techniques, and the secrets of both a great recommendation engine and a performant computer vision model using deep learning methods. You'll also explore how to train, optimize, and tune models using Azure Automated Machine Learning and HyperDrive, and perform distributed training on Azure. Then, you'll learn different deployment and monitoring techniques using Azure Kubernetes Services with Azure Machine Learning, along with the basics of MLOps—DevOps for ML to automate your ML process as CI/CD pipeline.
By the end of this book, you'll have mastered Azure Machine Learning and be able to confidently design, build and operate scalable ML pipelines in Azure.
  • 1. Building an End-to-end Machine Learning Pipeline
  • 2. Choosing a Machine Learning Service in Azure
  • 3. Data Experimentation and Visualization using Azure
  • 4. ETL, Data Preparation and Feature Extraction
  • 5. Advanced Feature Extraction with NLP
  • 6. Building ML Models using Azure Machine Learning
  • 7. Training Deep Neural Networks on Azure
  • 8. Hyperparameter Tuning and Automated Machine Learning
  • 9. Distributed Machine Learning on Azure ML Clusters
  • 10. Building a Recommendation Engine in Azure
  • 11. Deploying and Operating Machine Learning Models
  • 12. MLOps – DevOps for Machine Learning
  • 13. What's next?
  • Title: Mastering Azure Machine Learning. Perform large-scale end-to-end advanced machine learning in the cloud with Microsoft Azure Machine Learning
  • Author: Christoph Körner, Kaijisse Waaijer
  • Original title: Mastering Azure Machine Learning. Perform large-scale end-to-end advanced machine learning in the cloud with Microsoft Azure Machine Learning
  • ISBN: 9781789801521, 9781789801521
  • Date of issue: 2020-04-30
  • Format: Ebook
  • Item ID: e_2acs
  • Publisher: Packt Publishing