(Ebook) Low-Code AI: A Practical Project-Driven Introduction to Machine Learning by Gwendolyn Stripling ISBN 9781098146825, 1098146824

(Ebook) Low-Code AI: A Practical Project-Driven Introduction to Machine Learning by Gwendolyn Stripling ISBN 9781098146825, 1098146824

Take a data-first and use-case–driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.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:Distinguish between structured and unstructured data and the challenges they presentVisualize and analyze dataPreprocess data...