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» රාජ්‍ය සමාගම් කොටස් වෙළෙඳපොළට ගෙන ආ යුතුයි
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» Thought for the day...
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» Why (Happy) People Cheat?
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» Sri Lanka can resume high growth path, cut more taxes: Mark Mobius
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» Sri Lanka’s LOLC Prepares to Sell Its Biggest Overseas Unit
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» රතු වැටෙනකොට
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» Sri Lanka interest rates should go down, currency will not fall: Mark Mobius
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» Equation of Happiness Solved
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» තැරැව්කාර සමාගමකට එරෙහිව කොටස් වෙළෙඳපොළ විනය ක්‍රියාමාර්ග ගනී
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» PABC.N0000 (Pan Asia Banking Corporation PLC)
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» East West properties
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» Land & Property sector chart
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» සිමෙන්ති මිල පහළට
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» Flying is the Safest mode of Transport
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» OSEA .N
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» LIOC.N0000 (Lanka IOC PLC)
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» Sri Lanka insurer regulatory capital drop with new accounting rules
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» An Attitude Adjustment
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» Sri Lanka cement production picks up
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» Thread for News on Local and Foreign Politics
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» SEC Chief says ready to hand over baton
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» Technology~විද්‍යාව ~ Wisdom
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» The Theatre | Best movies to Watch
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» SHL.N0000 (Softlogic Holdings PLC)
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» APLA.N0000 (ACL PLASTICS PLC)
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» මගේ කියවීම ...
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» How the silence on this !
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Bias Algorithm

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Post by කිත්සිරි ද සිල්වා on Thu Jul 23, 2015 11:00 pm

Algorithm bias: A statistical review

The most general (and toughest) challenge faced by technical analysts is neither optimization (optimizing parameters is straightforward) nor overfitting (overfitting avoidance is an assumption), but how best to use domain knowledge to infer an appropriate bias in their algorithms.

At the risk of oversimplifying, statistics generally concerns testing a given hypothesis, while machine learning concerns formulating the process of generalization as a search through possible hypotheses in an attempt to find the best hypothesis.

Classical statistics involves calculating the probability of the data if the null hypothesis is true, while Bayesian inference involves calculating the probability of a hypothesis, given the data.


Read more

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