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In a layman term the difference between sql and ml is, ml predict things and sql just tell you things. Things has changed and ml now a days can do far better t
by master_yoda_1 9y ago
In a layman term the difference between sql and ml is, ml predict things and sql just tell you things.
Things has changed and ml now a days can do far better things.
If the competitor is using ml and making gain, then one should also catch up as soon as possible.
SQL analytics was past, predictive analytics is the future. ML can do more than predictive analytics for you :)
- tejasmanohar 9y agoSQL analytics was past, predictive analytics is the future You're over-simplifying things. SQL is here to stay, regardless of how big ML, which I'm very bullish on, becomes. Start with the simplest approach and try alternatives when/if it doesn't work. Simply jumping to "predictive analytics" is silly.
- master_yoda_1 9y agoI agree sql is here to stay. For ml you need data and sql is best place to store data. You can use various sql queries to get feature for ml system.
- azernik 9y agoPredictive analytics is the future for people who are trying to predict things. Use the right tool for the task.