Data science for business : what yoy need to know about data mining and data-analytic thinking /

Provost, Foster

Data science for business : what yoy need to know about data mining and data-analytic thinking / Foster Provost and Tom Fawcett - 386 páginas ; 18 x 23 cm, 1 ejemplar

Incluye bibliografía

Introduction: data-analytic thinking. Business problems and data science solutions. Introduction to predictive modeling: from correlation to supervised segmentation. Fitting a model to data. Overfitting and its avoidance. Similarity, neighbors, and clusters. Decision analytic thinking I: what is a good model? Visualizing model performance. Evidence and probabilities. Representing and mining text. Decision analytic thinking II: toward analytical engineering. Other data science tasks and techniques. Data science and business strategy. Conclusion.

Industrial

9781449361327


MINERÍA DE DATOS
TOMA DE DECISIONES
PLANIFICACIÓN ESTRATÉGICA
SISTEMAS DE INFORMACIÓN EN ADMINISTRACIÓN
PROCESAMIENTO ELECTRÓNICO DE DATOS
INTELIGENCIA ARTIFICIAL
EMPRESAS--PROCESAMIENTO ELECTRÓNICO DE DATOS
SISTEMAS DE ALMACENAMIENTO Y RECUPERACIÓN DE DATOS

006.312


Código QR

Universidad Católica de Colombia • PBX: (57 1) 3 27 73 00 - (57 1) 3 27 73 33
Bogotá, Avenida Caracas # 46 -72, sede Las Torres • Bogotá, Carrera 13 # 47 – 30, Sede 4​ • Bogotá, Diagonal 46 A # 15 B – 10, sede El Claustro
Bogotá, Carrera 13 # 47 – 49, sede Carrera 13