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AutoML 2.0 The AI Factory [#1015824]
AutoML 2.0 : The AI Factory by Ajit Singh
English | October 30, 2025 | ISBN: N/A | ASIN: B0FYG18KJ8 | 330 pages | EPUB | 2.54 Mb
"AutoML 2.0 : The AI Factory" is a comprehensive, practical, and accessible guide to the world of Automated Machine Learning. This book is built on a simple yet powerful premise: building machine learning models should be a systematic, efficient, and scalable process, akin to a modern factory's assembly line. It demystifies the techniques and tools that automate the most time-consuming and complex parts of the machine learning workflow, empowering a new generation of builders to create powerful AI applications.
Key Features:
1. Practical, Hands-On Approach: Every chapter includes code snippets, hands-on examples, and mini-projects using popular Python libraries.
2. Real-World Case Studies: Demonstrates how AutoML is being used to solve real business problems in finance, healthcare, retail, and more.
3. Focus on Modern Tools: Covers leading open-source frameworks (PyCaret, H2O AutoML, Auto-Sklearn) and major cloud platforms (AWS, Google Cloud, Azure).
4. End-to-End Capstone Project: A complete, step-by-step guide to building and deploying a fully functional AI application in the final chapter.
5. Simple Language & Clear Explanations: Complex algorithms and concepts are broken down into easy-to-understand components.
To Whom This Book Is For:
This book is written for a wide audience, covering both beginners and advanced learners:
1. B.Tech/Undergraduate Students: Computer Science and IT students who want a clear and practical introduction to a cutting-edge field in AI.
2. Data Science Aspirants & Junior Data Scientists: Individuals looking to accelerate their model-building workflow and learn industry-best practices for automation.
3. Software Engineers & Developers: Professionals who wish to integrate machine learning capabilities into their applications without needing a Ph.D. in statistics.
4. Project Managers & Team Leads: Leaders who want to understand how to leverage AutoML to build AI-driven products faster and more efficiently.
More importantly, this book connects AutoML to the broader ecosystem of MLOps (Machine Learning Operations), showing you not just how to build a model, but how to deploy, manage, and scale it in a real-world production environment. The journey culminates in a comprehensive, end-to-end capstone project where you will apply everything you have learned to build and deploy a live AI application from scratch.
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