Learning AutoML is your practical guide to applying automated machine learning in real-world environments. Whether you're a data scientist, ML engineer, or AI researcher, this book helps you move beyond experimentation to build and deploy high-performing models with less manual tuning and more automation. Author Kerem Tomak shares insights on how to integrate models into end-to-end deployment workflows using popular tools, real-world case studies and agentic AI help future-proof your knowledge.
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