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Hey, sometimes you need the best results possible.
Having one or two algorithms that perform reasonably well on a problem is a good start, but sometimes you may be want to get the
best result you can given the time and resources you have available.
Better results can mean more money for the business or more accolades for you.
There are two main tactics that I use to get the most out of machine learning algorithms:
1. Algorithm tuning
2. Ensembles
If results matter, I use both methods on a project and revisit each until I run out of time.
Discover how to get the most from your top algorithms in the post:
>> How to Improve Machine Learning Results
I'll speak to you soon.
Jason.
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