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. Youll learn key ML concepts by using real-world datasets with realistic problems.Publisher: OReilly MediaAuthor(s): Michael AbelNumber of pages: 325Publication date: 2023Dimensions: 178 x 235 x 20Cover type: Paperback / softback

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450.99 RON


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Magazin: Elefant.ro
Brand: Oreilly Media

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