Azure Machine Learning
  • Table of Contents
  • Cover
  • Dedication
  • About the Author
  • Section 1: Introduction
    • The Machine Learning Process and Azure ML
    • Introduction to Azure Machine Learning Service
    • Creating and Managing Pipelines
  • Section 2: Data Acquisition and Preparation
    • Ingesting Data
    • Cleaning and Visualizing Data
  • Section 3: Model Training, Testing, and Evaluation
    • Training and Testing the Data
    • Interpreting and Explaining the Model
    • Automating Machine Learning
  • Section 4: Model Maintenance
    • Deploying and Consuming the Model
    • Track and Monitor Experiments
    • Monitor Data and Models
Powered by GitBook
On this page

About the Author

Adnan Hashmi

PreviousDedicationNextThe Machine Learning Process and Azure ML

Last updated 4 years ago

has 20 years’ experience in the technology industry working with a host of clients in healthcare, finance, construction, and consulting. He currently works at Microsoft in the Data and AI space, engaging with financial services clients. He holds a Master’s degree in Software Engineering from the Shaheed Zulfikar Ali Bhutto Institute of Science & Technology (SZABIST), Karachi, Pakistan, and is passionate about Machine Learning, Music, and Education.

He is the founder of and can be reached at

Adnan Hashmi
Open Pakistan Education Network (OPEN)
AdnanHashmi.co
@adnan_hashmi