Data mining for business analytics : concepts, techniques and applications in Phyton /
Data mining for business analytics : concepts, techniques and applications in Phyton /
Galit Shmueli [y otros tres].
- First edition.
- xx, 574 páginas : ilustraciones, gráficas ; 26 cm .
Includes index. Disponible en OverDrive.
Chapter 2. Overview of the data mining process ; Chapter 3. Data exploration and dimension reduction 4. Dimension reduction ; Chapter 5. Evaluating predictive performance ; Chapter 6. Multple linear regression ; Chapter 7. K-Nearest neighbors (KNN) ; Chapter 8.The naive bayes classifier ; Chapter 9.Classification and regression trees ; Chapter 10.Logistic regression ; Chapter 11.Neural nets ; Chaprter 12.Discriminant analysis ; Chapter 18.Smoothing methods ; Chapter 20.Cases
Is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology.
9781119549840
Minería de datos--Enseñanza.
Análisis de datos--Estrategia y técnicas
Aprendizaje automático (Inteligencia Artificial)
Procesamiento de datos en línea.
Inteligencia de negocios.
Toma de decisiones.
Adm_Informática Adm_Informática_Tic aplicado a la toma de decisiones
005.74 / D232
Includes index. Disponible en OverDrive.
Chapter 2. Overview of the data mining process ; Chapter 3. Data exploration and dimension reduction 4. Dimension reduction ; Chapter 5. Evaluating predictive performance ; Chapter 6. Multple linear regression ; Chapter 7. K-Nearest neighbors (KNN) ; Chapter 8.The naive bayes classifier ; Chapter 9.Classification and regression trees ; Chapter 10.Logistic regression ; Chapter 11.Neural nets ; Chaprter 12.Discriminant analysis ; Chapter 18.Smoothing methods ; Chapter 20.Cases
Is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology.
9781119549840
Minería de datos--Enseñanza.
Análisis de datos--Estrategia y técnicas
Aprendizaje automático (Inteligencia Artificial)
Procesamiento de datos en línea.
Inteligencia de negocios.
Toma de decisiones.
Adm_Informática Adm_Informática_Tic aplicado a la toma de decisiones
005.74 / D232
