Seven key factors to consider when implementing an algorithm

or any given machine learning problem, numerous algorithms can be applied and multiple models can be generated. … Having a wealth of options is good, but deciding on which model to implement in production is crucial. …Here is the list of factors to consider when implementing an algorithm:

• Interpretability
• The number of data points and features
• Data format
• Linearity of data
• Training time
• Prediction time
• Memory requirements

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