Last answered:

08 May 2022

Posted on:

08 May 2022

0

Traditional methods still relevant to big data?

Hi! Just a question about the end of the video where it mentions that traditional methods are better suited for traditional data, and ML is better suited for big data. Is this just a rule of thumb that doesn't always apply? For instance, I think of PCA as more of a 'traditional method', but it is still applied with high dimensional data that you might find in big data. Thanks for any input!

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Instructor
Posted on:

08 May 2022

0

Hi Eleanor!

Thanks for reaching out.

Plenty of the traditional methods are used in ML today, at least according to the vocabulary used by many analysts. For instance, logistic regression is a very traditional method, but it can be applied also in a machine learning context. Therefore, depending on the context, we can talk about traditional methods/data or ML/big data.
The same principle applies for PCA which is, historically at least, a traditional statistical method.

Hope this helps.
Best,
Martin

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