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,...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Sebastopol, CA :
O'Reilly Media, Inc
2023.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009766136806719 |
