The Best Azure Machine Learning Books of All Time

Discover the most influential azure machine learning books, recommended by leaders, experts, and readers worldwide

We may earn commissions for purchases made via this page.
1
Book Cover of Kaijisse Waaijer, Christoph Körner - Mastering Azure Machine Learning: Perform large-scale end-to-end advanced machine learning on the cloud with Microsoft Azure ML

By Kaijisse Waaijer – Cloud Solution Architect at Microsoft (you?) and 1 more 

4.51
| 2020 | 436 Pages
Recommended for: 
Data professionals and analysts. Ages 12 to Adults.
You will:
  • Learn how to set up Azure ML workspace for data experimentation and visualization.
  • Discover advanced feature extraction techniques using natural language processing and word embeddings.
  • Understand how to train and optimize machine learning models using Azure AutoML and HyperDrive.
  • Implement deployment and monitoring techniques using Azure Kubernetes Services with Azure ML.
  • Master the basics of MLOps to automate your machine learning process as a CI/CD pipeline.
Reviews:
Comprehensive Coverage
Practical Examples
Clear Instructions
Hands-On Approach
Well-Structured
Basic Information
Lacks Depth
  • New York Times Bestseller
  • Rated Amazon Best Book of the Year
Read Amazon reviews|Rate or write a review
2
Book Cover of Dennis Michael Sawyers - Automated Machine Learning with Microsoft Azure: Build highly accurate and scalable end-to-end AI solutions with Azure AutoML

By Dennis Michael Sawyers – Author and expert in machine learning (you?) 

4.51
| 2021 | 340 Pages
Recommended for: 
Data scientists and machine learning engineers. Ages 12 to Adults.
You will:
  • Learn how to prepare data for Azure AutoML to ensure smooth model training and deployment.
  • Discover how to create real-time scoring solutions with AutoML and Azure Kubernetes Service.
  • Understand how to train classification, regression, and forecasting ML algorithms with Azure AutoML.
  • Gain insights into productionalizing your AutoML solution with Azure Machine Learning pipelines.
  • Explore how to quickly deliver value and earn business trust using AutoML.
Reviews:
Comprehensive Resource
Step-by-Step Guidance
Business Value
User-Friendly
In-Depth Coverage
Repetitive
Too Technical
  • New York Times Bestseller
  • Rated Amazon Best Book of the Year
Read Amazon reviews|Rate or write a review
Azure Machine Learning Book made by AI

By TailoredRead – AI that creates personalized books for you 

4.98
| 2024 | 30-300 pages
Learn Azure Machine Learning faster with a book created specifically for you by state-of-the-art AI. Our AI has vast knowledge of Azure Machine Learning, and will craft a custom-tailored book for you in just 10 minutes. This tailored book addresses YOUR unique interests, goals, knowledge level, and background. Available for online reading, PDF download, and Kindle, your custom book will provide personalized insights to help you learn faster, expand your horizons, and accomplish your goals. Embark on your Azure Machine Learning learning journey with a personalized book - made exclusively for you.
Recommended for: 
All readers across all knowledge levels.
You will:
  • Get an Azure Machine Learning book tailored to your interests, goals, and background
  • Receive a book precisely matching your background and level of knowledge
  • Select which topics you want to learn, exclude the topics you don't
  • Define your learning goals and let your book guide you to accomplish them
  • Get all the knowledge you need consolidated into a single focused book
Reviews:
Insightful
Focused
Highly Personalized
Easy to Read
Engaging
Actionable
Up-to-Date
3
Book Cover of Emmanuel Raj - Engineering MLOps: Rapidly build, test, and manage production-ready machine learning life cycles at scale

By Emmanuel Raj – AI Engineer with 6+ years of experience (you?) 

4.48
| 2021 | 370 Pages
Recommended for: 
Data scientists and software engineers. Beginner to Intermediate readers.
You will:
  • Learn to implement MLOps in your organization effectively and efficiently.
  • Discover best practices for monitoring machine learning models in production.
  • Understand how to build and deploy ML pipelines using Azure.
  • Gain insights into data governance strategies for ML training and deployment.
  • Explore techniques for automating ML systems and CI/CD processes.
Reviews:
Practical Examples
Comprehensive Coverage
Hands-on Implementation
Easy to Understand
Real-World Applications
Typos
Outdated Code
  • New York Times Bestseller
  • Rated Amazon Best Book of the Year
Read Amazon reviews|Rate or write a review
4
Book Cover of Sina Fakhraee PH D, Balamurugan Balakreshnan, Megan Masanz - Azure Machine Learning Engineering: Deploy, fine-tune, and optimize ML models using Microsoft Azure

By Sina Fakhraee PH D – Expert in machine learning and Azure technologies (you?) and 2 more 

4.40
| 2023 | 362 Pages
Recommended for: 
Machine learning engineers and data scientists. Ages 12 to Adults.
You will:
  • Learn to train ML models in the Azure Machine Learning service.
  • Discover how to build end-to-end ML pipelines effectively.
  • Understand how to host ML models on real-time scoring endpoints.
  • Learn to mitigate bias in ML models for better accuracy.
  • Discover how to simplify ML model explainability using Azure tools.
Reviews:
Clear Instructions
Practical Examples
Comprehensive Guide
Step-by-Step
Expert Authors
Horrible Printing
Black and White
  • New York Times Bestseller
  • Rated Amazon Best Book of the Year
Read Amazon reviews|Rate or write a review
5
Book Cover of Christoph Körner, Marcel Alsdorf - Mastering Azure Machine Learning - Second Edition: Execute large-scale end-to-end machine learning with Azure

By Christoph Körner – Cloud Solution Architect at Microsoft (you?) and 1 more 

4.40
| 2022 | 624 Pages
Recommended for: 
Machine learning engineers and data scientists. Ages 12 to Adults.
You will:
  • Understand the end-to-end ML pipeline using Azure Machine Learning.
  • Discover how to preprocess and analyze datasets for machine learning.
  • Learn to deploy machine learning models for real-time scoring.
  • Explore advanced techniques in natural language processing and deep learning.
  • Build an automated MLOps pipeline using Azure DevOps.
Reviews:
Practical Examples
Comprehensive Coverage
Easy to Follow
Well-Structured
In-Depth
Riddled with Mistakes
Skipped Steps
  • New York Times Bestseller
  • Rated Amazon Best Book of the Year
Read Amazon reviews|Rate or write a review
6
Book Cover of Deepak Mukunthu, Parashar Shah, Wee Hyong Tok - Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions

By Deepak Mukunthu – Principal Program Manager at Microsoft (you?) and 2 more 

4.37
| 2019 | 196 Pages
Recommended for: 
Data scientists and AI professionals. Beginner to Intermediate readers.
You will:
  • Learn how to apply Automated Machine Learning to your data effectively.
  • Discover the benefits of Automated Machine Learning across various industries.
  • Understand algorithm selection and hyperparameter tuning in depth.
  • Explore how data analysts can leverage Automated Machine Learning tools.
  • Get started with practical use cases including classification and regression.
Reviews:
Easy to Understand
Hands-on Examples
Practical Applications
Technical Depth
Real-world Case Studies
Outdated Material
Poor Content Quality
  • New York Times Bestseller
  • Rated Amazon Best Book of the Year
Read Amazon reviews|Rate or write a review
7
Book Cover of Sumit Mund - Microsoft Azure Machine Learning

By Sumit Mund – Author and expert in machine learning (you?) 

4.27
| 2015 | 212 Pages
Recommended for: 
Beginners in data science and analytics. Ages 12 to Adults.
You will:
  • Learn to use Azure Machine Learning Studio for data visualization and pre-processing.
  • Discover how to build predictive models using classification, regression, and clustering algorithms.
  • Understand how to deploy predictive solutions as Web service APIs.
  • Explore integration of R and Python code within models built in ML Studio.
  • Gain insights through case studies that apply learned concepts to real-world problems.
Reviews:
Easy to Understand
Step-by-Step Tutorials
Good Introduction
Practical Examples
Intuitive Interface
Verbose Writing
Lacks Depth
  • New York Times Bestseller
  • Rated Amazon Best Book of the Year
Read Amazon reviews|Rate or write a review
8
Book Cover of Valentine Fontama, Roger Barga, Wee Hyong Tok - Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy Actionable Solutions in Minutes

By Valentine Fontama – Principal Data Scientist Manager at Microsoft (you?) and 2 more 

4.26
| 2014 | 188 Pages
Recommended for: 
Data scientists and analysts, beginners to intermediate. Ages 12 to Adults.
You will:
  • Learn how to build predictive models using Microsoft Azure Machine Learning effectively.
  • Discover the importance of data science in modern analytics and decision-making.
  • Understand the process of deploying machine learning models as web services.
  • Explore various machine learning workflows and their applications in real-world scenarios.
  • Gain insights into the Azure Machine Learning service and its features for data analysis.
Reviews:
Practical Examples
Easy to Follow
Good Overview
Hands-On Approach
Well-Structured
Repetitive Content
Outdated Information
  • New York Times Bestseller
  • Rated Amazon Best Book of the Year
Read Amazon reviews|Rate or write a review
9
Book Cover of Michael Washington - Azure Machine Learning Studio for The Non-Data Scientist: Learn how to create experiments, operationalize them using Excel and Angular .Net Core ... programs to improve predictive results.

By Michael Washington – Expert in Azure Machine Learning and Angular (you?) 

4.23
| 2017 | 158 Pages
Recommended for: 
Non-data scientists and beginners in machine learning. Ages 12 to Adults.
You will:
  • Learn how to create predictive experiments using Azure Machine Learning Studio effectively.
  • Discover how to operationalize models with Excel and Angular .Net Core applications.
  • Understand the process of retraining Azure Machine Learning models for better accuracy.
  • Explore the setup of an Azure Machine Learning workspace and its functionalities.
  • Gain insights into creating web services that consume predictive models.
Reviews:
Easy to Follow
Helpful Screenshots
Clear Instructions
Valuable Content
Good Starter Kit
Lacks Depth
Repetitive Screenshots
  • New York Times Bestseller
  • Rated Amazon Best Book of the Year
Read Amazon reviews|Rate or write a review
10
Book Cover of Gerardus Blokdyk - Azure Machine Learning A Complete Guide - 2020 Edition

By Gerardus Blokdyk – Acclaimed best-selling author and expert in Azure Machine Learning (you?) 

4.23
| 2021 | 308 Pages
Recommended for: 
Data scientists and machine learning professionals. Beginner to Intermediate readers.
You will:
  • Learn how to implement Azure Machine Learning effectively in various projects.
  • Discover best practices for optimizing machine learning workflows.
  • Understand the key components of Azure Machine Learning services.
  • Explore strategies for data preparation and model training.
  • Gain insights into troubleshooting common Azure Machine Learning issues.
Reviews:
Comprehensive Coverage
Practical Insights
User-Friendly
Well-Structured
Up-to-Date
Complex Terminology
Lacks Depth
  • New York Times Bestseller
  • Rated Amazon Best Book of the Year
Read Amazon reviews|Rate or write a review
Loading
Category:
Choose a different view:
Format:
Print | Kindle |