MACHINE LEARNING SOLUTIONS ARCHITECT HANDBOOK create machine learning platforms to run... solutions in an enterprise setting

Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutionsKey FeaturesExplore different ML tools and frameworks to solve large-scale machine learning challenges in the cloudBuild an efficient data science environment for data explorat...

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Detalles Bibliográficos
Autor principal: PING, DAVID (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: [S.l.] : PACKT PUBLISHING LIMITED 2021.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009644729206719
Tabla de Contenidos:
  • Table of Contents Machine Learning and Machine Learning Solutions Architecture Business Use Cases for Machine Learning Machine Learning Algorithms Data Management for Machine Learning Open Source Machine Learning Libraries Kubernetes Container Orchestration Infrastructure Management Open Source Machine Learning Platforms Building a Data Science Environment Using AWS ML Services Building an Enterprise ML Architecture with AWS ML Services Advanced ML Engineering ML Governance, Bias, Explainability, and Privacy Building ML Solutions with AWS AI Services.