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,...
Clasificación: | Libro Electrónico |
---|---|
Autores principales: | Stripling, Gwendolyn (Autor), Abel, Michael (Autor) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Sebastopol, CA :
O'Reilly Media, Inc.,
2023.
|
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Ejemplares similares
-
AI and machine learning /
por: Rahman, Was, 1965-
Publicado: (2020) -
AI and machine learning /
por: Rahman, Was, 1965-
Publicado: (2020) -
6 Trends Framing the State of AI and ML /
por: Magoulas, Roger, et al.
Publicado: (2020) -
Blockchain Tethered AI : trackable, traceable artificial intelligence and machine learning /
por: Kilroy, Karen, et al.
Publicado: (2023) -
Deploying AI in the enterprise : IT approaches for design, DevOps, governance, change management, blockchain, and quantum computing /
por: Hechler, Eberhard, et al.
Publicado: (2020)