Difference between revisions of "TDSM 7.3"
From The Data Science Design Manual Wikia
| Line 1: | Line 1: | ||
Examples: | 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. | + | # 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 depends on the 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. | + | |
| + | # 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. | ||
Revision as of 20:31, 11 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 depends on the 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.
