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Low-Code AI. A Practical Project-Driven Introduction to Machine Learning, Paperback/Michael Abel
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This hands-on guide presents three problem-focused ways to learn ML: no code using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. You'll learn key ML concepts by using real-world datasets with realistic problems. Publisher: O'Reilly Media Author(s): Michael Abel Number of pages: 325 Publication date: 2023 Dimensions: 178 x 235 x 20 Cover type: Paperback / softback
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