Machine learning with R : expert techniques for predictive modeling /

Guardado en:

Detalles Bibliográficos
Autor principal:	Lantz, Brett
Formato:	Libro
Lenguaje:	Inglés
Publicado:	Birmingham : Packt, c2019
Edición:	3rd ed.
Materias:	INTELIGENCIA ARTIFICIAL APRENDIZAJE AUTOMATICO MODELOS PREDICTIVOS R (LENGUAJE DE PROGRAMACION)
Aporte de:	Registro referencial: Solicitar el recurso aquí Biblioteca Central Dr. Luis F. Leloir (FCEN) de Universidad de Buenos Aires

Tabla de Contenidos:

Chapter 1 Introducing Machine Learning
Chapter 2 Managing and Understanding Data
Chapter 3 Lazy Learning – Classification Using Nearest Neighbors
Chapter 4 Probabilistic Learning – Classification Using Naive Bayes
Chapter 5 Divide and Conquer – Classification Using Decision Trees and Rules
Chapter 6 Forecasting Numeric Data – Regression Methods
Chapter 7 Black Box Methods – Neural Networks and Support Vector Machines
Chapter 8 Finding Patterns – Market Basket Analysis Using Association Rules
Chapter 9 Finding Groups of Data – Clustering with k-means
Chapter 10 Evaluating Model Performance
Chapter 11 Improving Model Performance
Chapter 12 Specialized Machine Learning Topics