Data science for business : what you need to know about data mining and data-analytic thinking / Foster Provost, Tom Fawcett. - quinta ediciónLibro / Impreso - Libros
CONTENIDO: Introduction: data-analytic thinking
Business problems and data science solutions
Introduction to predictive modeling: from correlation to supervised segmentation
Fitting a model to data
Over fitting and its avoidance
Similarity, neighbors, and clusters
Decision analytic thinking Ii: what is a good model?
Visualizing model performance
Evidence probabilities
Representing and mining text
Decision analytic thinking II: toward analytical engineering
Other data science tasks and techniques
Data and business strategy
Conclusion
Glossary
