LOW-CODE AI a practical project-driven introduction to machine learning /
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,...
Call Number: | Libro Electrónico |
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Main Authors: | , |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
Sebastopol, CA :
O'Reilly Media, Inc.,
2023.
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Subjects: | |
Online Access: | Texto completo (Requiere registro previo con correo institucional) |