Machine learning using R : with time series and industry-based uses in R /

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Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avo...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Ramasubramanian, Karthik (Autor), Singh, Abhishek, 1976- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [New York, New York] : Apress, [2019]
Edición:Second edition.
Temas:
Machine learning.
R (Computer program language)
Apprentissage automatique.
R (Langage de programmation)
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Chapter 1: Introduction to Machine Learning and R
  • Chapter 2: Data Exploration and Preparation
  • Chapter 3: Sampling and Resampling Techniques
  • Chapter 4: Data Visualization in R
  • Chapter 5: Feature Engineering
  • Chapter 6: Machine Learning Theory and Practice
  • Chapter 7: Machine Learning Model Evaluation
  • Chapter 8: Model Performance Improvement
  • Chapter 9: Time Series Modelling
  • Chapter 10: Scalable Machine Learning and related technology
  • Chapter 11: Deep Learning Models using Keras and TensorFlow.

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