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You're right that I could get just as good results with other potentially faster algorithms but those algorithms don't afford me the ability (especially decisio
by argilium 11y ago
You're right that I could get just as good results with other potentially faster algorithms but those algorithms don't afford me the ability (especially decision trees) to personalise.
The system is designed to be personalised. So for example if it's not doing well in recognising your squats for instance, you can immediately 'show' it what they look like. A neural network can immediately integrate that, and spit out great accuracy levels. Whilst i'd have to reconstruct a decision tree each time.
- argonaut 11y agoYou definitely can use online learning with logistic regression. There are also ways to get it to work with random forests / boosted trees.
- argilium 11y agoI never even considered logistic regression for this problem. Now that you've pointed it out, I'm going to look into. Neural networks aren't really core part of the system. As long as I can get good + quick results, I'm really open to swapping out the learning algorithm.