Episode
How do you select the right machine learning algorithm? (25 of 28)
A common question in data science is "Which machine learning algorithm should I use?". In this video you will learn how the algorithm you select depends primarily on two different aspects of your data science scenario:
- What you want to do with your data? Specifically, what is the business question you want to answer by learning from your past data?
- What are the requirements of your data science scenario? Specifically, what is the accuracy, training time, linearity, number of parameters, and number of features your solution supports?
A common question in data science is "Which machine learning algorithm should I use?". In this video you will learn how the algorithm you select depends primarily on two different aspects of your data science scenario:
- What you want to do with your data? Specifically, what is the business question you want to answer by learning from your past data?
- What are the requirements of your data science scenario? Specifically, what is the accuracy, training time, linearity, number of parameters, and number of features your solution supports?
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