Building machine learning powered applications going from idea to product

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers—including ex...

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Detalles Bibliográficos
Otros Autores: Ameisen, Emmanuel, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Beijing : O'Reilly February 2020
Edición:First edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630779606719
Tabla de Contenidos:
  • From product goal to ML framing
  • Create a plan
  • Build your firest end-to-end pipeline
  • Acquire an initial dataset
  • Train and evaluate your model
  • Debug your ML problems
  • Using classifiers for writing recommendations
  • Considerations when deploying models
  • Choose your deployment option
  • Build safeguards for models
  • Monitor and update models.