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Real-world machine learning /

Without overdosing you on academic theory and complex mathematics, this book introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems. --

Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Brink, Henrik (Author), Richards, Joseph W. (Author), Fetherolf, Mark (Author)
Format: Electronic eBook
Language:Inglés
Published: Shelter Island, NY : Manning Publications Co., [2017]
Subjects:
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • pt. 1. The machine-learning workflow. What is machine learning? ; Real-world data ; Modeling and prediction ; Model evaluation and optimization ; Basic feature engineering
  • pt. 2. Practical application. Example : NYC taxi data ; Advanced feature engineering ; Advanced NLP example : Movie review sentiment ; Scaling machine-learning workflows ; Example : digital display advertising.