Which Machine Learning Algorithm Should I Use?
Although deep learning is my passion, I often encounter people wanting to use artificial neural networks when other methods would be much more suitable...
Although deep learning is my passion, I often encounter people wanting to use artificial neural networks when other methods would be much more suitable. I came across a very clear article from SAS that explains this well.
So, what should be taken into account when it comes to machine learning?
• the size, quality, and nature of the data
• the available computational time
• what you want to do with the data (classify, predict, perform regression)
A few tips. At the outset, clearly define the problem you are addressing. Get to know the data you have thoroughly. Start with simple methods and use them as a benchmark. Only then should you try something more complex and compare the results.
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