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Low-Code AI: A Practical Project-Driven Introduction to Machine Learning
Low-Code AI: A Practical Project-Driven Introduction to Machine Learning
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Size: Paperback
Business and data analysts get a project-based introduction to ML/AI using a detailed, data-driven approach: loading and analyzing data, feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications.
You'll learn how to: