2001 | OriginalPaper | Buchkapitel
Introduction
verfasst von : Trevor Hastie, Jerome Friedman, Robert Tibshirani
Erschienen in: The Elements of Statistical Learning
Verlag: Springer New York
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Statistical learning plays a key role in many areas of science, finance and industry. Here are some examples of learning problems: • Predict whether a patient, hospitalized due to a heart attack, will have a second heart attack. The prediction is to be based on demographic, diet and clinical measurements for that patient.• Predict the price of a stock in 6 months from now, on the basis of company performance measures and economic data.• Identify the numbers in a handwritten ZIP code, from a digitized image.• Estimate the amount of glucose in the blood of a diabetic person, from the infrared absorption spectrum of that person’s blood.• Identify the risk factors for prostate cancer, based on clinical and demographic variables.