Mastering Predictive Analytics with Scikit-Learn and TensorFlow : Implement Machine Learning Techniques to Build Advanced Predictive Models Using Python.

In this book, you will find a range of methods to improve the performance of almost any predictive model, from ensemble methods to dimensionality reduction and cross-validation. You will learn the tools to produce advanced predictive models. In addition, you will dive into the exiting field of Deep...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Fuentes, Alvaro
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing Ltd, 2018.
Temas:
Data mining.
Big data.
Decision making > Data processing.
Application software > Development.
Python (Computer program language)
Data Mining
Exploration de données (Informatique)
Données volumineuses.
Prise de décision > Informatique.
Logiciels d'application > Développement.
Python (Langage de programmation)
Information theory.
Computer modelling & simulation.
Natural language & machine translation.
Information architecture.
Computers > Natural Language Processing.
Computers > Computer Simulation.
Computers > Information Theory.
Acceso en línea:Texto completo
Descripción
Sumario:In this book, you will find a range of methods to improve the performance of almost any predictive model, from ensemble methods to dimensionality reduction and cross-validation. You will learn the tools to produce advanced predictive models. In addition, you will dive into the exiting field of Deep Learning using TensorFlow.
Notas:Evaluating the model with a set threshold.
Descripción Física:1 online resource (149 pages)
ISBN:9781789612240
1789612241

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