Artificial Intelligence and Machine Learning Engineering – A modern textbook with practical cases
Format:
Paperback
En stock
0.49 kg
Sí
Nuevo
Amazon
USA
- This textbook provides a comprehensive introduction to the foundational components that power modern artificial intelligence and machine learning (AI & ML) systems. It explores the critical elements of AI & ML infrastructure—including data pipelines, model development frameworks, and deployment platforms—emphasizing the design of systems that are both robust and scalable. By the end of this book, you will be able to:Analyze and critically evaluate the core components of AI & ML infrastructure and understand how they interconnect within larger systems.Design and assess efficient data pipelines tailored to AI & ML workflows.Compare and select appropriate model development frameworks for a range of AI & ML applications.Prepare AI & ML models for deployment in real-world production environments.To fully benefit from this book, readers should have beginning proficiency in Python, a foundational understanding of AI & ML concepts—including generative AI and large pretrained language models—and basic knowledge of statistics.
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