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For questions related to machine learning (ML), which is a set of methods that can automatically detect patterns in data, and then use the uncovered patterns to predict future data, or to perform other kinds of decision making under uncertainty (such as planning how to collect more data). ML is usually divided into supervised, unsupervised and reinforcement learning. Deep learning is a subfield of ML that uses deep artificial neural networks.

1 vote

How much data do I need to collect?

Sorry but no one can give you a number. As stated already in the comment by Manngo, the general rule: is as much as you can. I have also seen the 10x number being thrown around, see here. According …
Tshilidzi Mudau's user avatar
1 vote

Are all breakthroughs in AI and machine learning are due to increase in computational resour...

most of the underlying math(like back-propergation) was discovered a long time ago, and the advances in hardware have only recently made it possible to tackle some problems within a reasonable amoun …
Tshilidzi Mudau's user avatar
4 votes

Is algorithmic bias due to the training dataset used?

Just to add to what has already been said in @BlueMoon93's answer: Algorithmic bias is the bias built into the algorithm. Now for the long answer: As stated by the so called No free lunch theorem: …
Tshilidzi Mudau's user avatar
1 vote

How does noise affect generalization?

PS: There is already some very good answers provided here, I will merely add to this answers in the hope that someone will find this useful: Introducing noise to a dataset can indeed have a positive …
Tshilidzi Mudau's user avatar
9 votes

Can AI write good jokes yet?

I don't think the AI has gotten to that point yet. Here are some of the interesting papers on the subject: A paper was recently written that attempted to generate jokes using unsupervised learning. …
Tshilidzi Mudau's user avatar
6 votes

Are the shortcomings of neural networks diminishing?

Just to add to what has been said in @MikeWise's brilliant answer, All things equal, deep learning models generally rank supreme when compared to other algorithms as the size of the dataset increase …
Tshilidzi Mudau's user avatar