back to article Real talk: Machine learning is not there yet. Some assembly required

Despite the vendor-driven hype, machine learning is not a miracle cure for businesses. In fact, it's something of a problem child, one that requires quite a bit of handholding and coddling. In a paper published this week, Ilias Flaounas, senior data scientist at developer tools biz Atlassian, argues that companies should be …


The human's supervising machine learning can always be replaced by darwinism

with the right "kill function". Not as algorithmically efficient but moves supervised to unsupervised

training. Just a matter of time.

Silver badge

"we use it to predict future values of key business metrics"

And how did reality match prediction? Or are those still future values and hence untested? Or are the circumstances such that it becomes a self-fulfilling prophecy because the business works towards those targets in which case there's no evidence that that was the best use of the effort dedicated to it.


Why are you so negative?!


The lottery

This validated machine learning prediction tool told me - on a test data - that I will win the lottery tomorrow; on the training data it said I had already won yesterday. Hence, today's prediction is: I will keep my job.

And talking about NLP: do I say that I will keep my job or the machine predicts that I will keep my job? What is it then with the lottery?!


Flavor of the month

It's all the buzzwordy secret saucey trend of the moment. It is being mindlessly rolled out by poorly trained monkeys and applied incorrectly in the wrong places. Using suspect data from "eventually consistent" databases.

Bronze badge


Just what is the difference between "Machine learning" and good old "Statistical Analysis"?

Otherwise sometimes known as Anal Lysis

noun: lysis

the disintegration of a cell by rupture of the cell wall or membrane.


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