Difference between revisions of "TDSM 7.3"
From The Data Science Design Manual Wikia
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| − | # First Principle Model : A model predicting the result of a football match. Result of a match depends on the form of its players. So features measuring the form of a player could help us predict the result of a match. Another example is predicting of stock price. The stock price | + | # First Principle Model : A model predicting the result of a football match. Result of a match depends on the form of its players. So features measuring the form of a player could help us predict the result of a match. Another example is predicting of stock price. The stock price may depend on performance of the company. |
# Data-Driven Models: A model predicting the weather on a given day is data driven because we will use data of previous years to predict it. Predicting stock price using history price data is a data-driven model. | # Data-Driven Models: A model predicting the weather on a given day is data driven because we will use data of previous years to predict it. Predicting stock price using history price data is a data-driven model. | ||
Latest revision as of 04:08, 12 December 2017
Examples:
- First Principle Model : A model predicting the result of a football match. Result of a match depends on the form of its players. So features measuring the form of a player could help us predict the result of a match. Another example is predicting of stock price. The stock price may depend on performance of the company.
- Data-Driven Models: A model predicting the weather on a given day is data driven because we will use data of previous years to predict it. Predicting stock price using history price data is a data-driven model.
