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Part 3 of 5 in the Microsoft Azure & AI path

Introduction to Machine Learning booklet cover

Introduction to Machine Learning

DOCX 4.2 MB Beginner Sep 2026

Machine learning has become a critical capability for modern organizations, powering analytics, automation, and intelligent decision-making. Success in this field requires more than knowing algorithms—it demands strength in three key pillars: programming skills, mathematical and statistical understanding, and business domain expertise.

What you'll learn

  • Executive Summary
  • Introduction to Machine Learning
  • The Three Pillars of Machine Learning
  • Essential Programming Skills for Machine Learning
Download booklet (DOCX, 4.2 MB)

Table of contents

  1. Executive Summary
  2. Introduction to Machine Learning
  3. The Three Pillars of Machine Learning
  4. Essential Programming Skills for Machine Learning
  5. Preparing Data for Machine Learning
  6. Training Machine Learning Models in Azure ML
  7. Model Evaluation and Validation in Azure ML
  8. Deploying Models in Azure ML
  9. MLOps and Automated Retraining
  10. ML Security, Governance, and Responsible AI
  11. Cost Management, Optimization, and ML Efficiency
  12. End-to-End Azure ML Architecture & Real-World Scenarios
  13. Appendix A: What Machine Learning Really Is: A Practical Overview
  14. Appendix B – Azure ML CLI and Python SDK Quick Reference

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