1. Azure Machine Learning Engineering
Authored by Sina Fakhraee, Balamurugan Balakreshnan, and Megan Masanz, this book dives deep into deploying, fine-tuning, and optimizing machine learning models using Microsoft Azure. Released on January 20, 2023, it serves as an essential resource for anyone seeking to harness Azure for robust machine learning solutions. The authors combine their expertise to present a practical, hands-on approach, ensuring that readers can not only understand the theory but also implement real-world applications. Whether you are a beginner or an experienced data scientist, this book empowers you to take your machine learning projects to the next level.
2. Automated Machine Learning with Microsoft Azure
Dennis Michael Sawyers, the author of this enlightening book, introduces a comprehensive guide to building highly accurate and scalable end-to-end AI solutions using Azure AutoML. Published on April 23, 2021, the book covers an array of automated machine learning strategies and tools that are essential for today’s developers. With expert insights and practical examples, Sawyers takes readers through various methodologies to streamline and enhance their AI projects, making it a must-read for anyone looking to automate their machine learning processes swiftly.
3. Mastering Azure Machine Learning – Second Edition
In this powerful guide, Christoph Körner and Marcel Alsdorf detail the intricacies of executing large-scale end-to-end machine learning using Azure. Released on May 10, 2022, this second edition expands on its predecessor with updated strategies and new features in Azure Machine Learning. This book is for those who are serious about mastering the complexities of machine learning and leverage Azure to build scalable solutions that can handle vast amounts of data. The strategic insights provided can significantly elevate your understanding and application of machine learning technology.
4. Programming Large Language Models with Azure Open AI
Francesco Esposito’s upcoming book, set to release on April 1, 2024, focuses on conversational programming and prompt engineering with large language models using Microsoft Azure Open AI. This book is particularly valuable for developers looking to create applications that leverage AI for seamless interactions. Esposito’s mastery of Azure and AI makes this guide an indispensable resource for programmers interested in deploying AI solutions that can enhance user experience significantly.
5. Azure Machine Learning Studio A Complete Guide – 2021 Edition
This comprehensive guide from The Art of Service addresses the essential features of Azure Machine Learning Studio, making it a valuable asset for users eager to understand this platform’s capabilities. Published on January 4, 2021, the book provides a structured approach to mastering Azure ML Studio, offering practical tips and best practices. Perfect for both beginners and advanced users, it encourages readers to enhance their skills and apply their knowledge effectively in their machine learning tasks.
6. Azure machine learning studio A Complete Guide
Written by Gerardus Blokdyk, this book presents a comprehensive exploration of Azure Machine Learning Studio, providing readers with insights to maximize their use of this powerful tool. Released on August 19, 2021, it covers essential techniques and operational methodologies, ensuring that readers can efficiently implement and manage machine learning projects. Whether you are a seasoned data professional or a novice, this guide will aid you in navigating the Azure ecosystem effectively.
7. Practical MLOps: Operationalizing Machine Learning Models
In this insightful book, authors Noah Gift and Alfredo Deza detail the operational aspects of deploying machine learning models effectively. Published on October 19, 2021, it serves as an essential reference for anyone looking to enhance their machine learning workflows with practical MLOps strategies. Understand the importance of operationalizing models for real-world applications and learn how to keep model performance consistent in changing environments.
8. Azure Machine Learning Studio for The Non-Data Scientist
Michael Washington’s budget-friendly guide, priced at just $5.99, is perfect for non-data scientists who want to harness the power of Azure ML Studio. Published on July 18, 2017, this book offers a simplified approach to creating experiments while integrating them with Excel and Angular .Net Core applications. It stands out for its user-friendly instructions and practical insights, empowering readers to dive into machine learning without a complex technical background.
9. Getting Started with Machine Learning with Microsoft Azure Machine Learning Studio (Korean Edition)
This Korean edition, authored by Kang Min Soo and published on October 10, 2018, is an ideal resource for Korean-speaking readers who wish to start their journey with machine learning using Azure ML Studio. It serves as an excellent introduction to key concepts and practical techniques, ensuring accessibility for all learners eager to delve into the machine learning landscape.
10. No-code AI: Concepts And Applications In Machine Learning, Visualization, And Cloud Platforms
Set to publish on July 22, 2024, this collaborative effort from Minsoo Kang, Park Sung Yul, Myeong-ae Chung, and Dong-hun Han introduces the world of no-code AI to readers. It covers essential concepts and applications in machine learning, focusing on visual tools and cloud platforms. The book targets a broader audience, encouraging those who may not have a programming background to engage with AI technology. This makes it a crucial read for aspiring data scientists and tech enthusiasts alike!
