#occamsrazor — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #occamsrazor, aggregated by home.social.
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It is wonderful to learn from the well respected and experienced #HarshMariwala #Chairman #Marico
5 #laws for founders
1. #ParkinsonsLaw : Time is elastic. Discipline is your edge.
2. #ChestertonsFence : Innovate, yes; but understand what you’re changing.
3. #LawofDiminishingReturns : Don’t brute-force growth. Calibrate it
4. #ParetoPrinciple : Not everything matters equally. Focus sharply.
5. #OccamsRazor : Simple scales. Simple sells. Simple succeeds.Source : #HarshMariwala #LinkedIn
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It is wonderful to learn from the well respected and experienced #HarshMariwala #Chairman #Marico
5 #laws for founders
1. #ParkinsonsLaw : Time is elastic. Discipline is your edge.
2. #ChestertonsFence : Innovate, yes; but understand what you’re changing.
3. #LawofDiminishingReturns : Don’t brute-force growth. Calibrate it
4. #ParetoPrinciple : Not everything matters equally. Focus sharply.
5. #OccamsRazor : Simple scales. Simple sells. Simple succeeds.Source : #HarshMariwala #LinkedIn
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It is wonderful to learn from the well respected and experienced #HarshMariwala #Chairman #Marico
5 #laws for founders
1. #ParkinsonsLaw : Time is elastic. Discipline is your edge.
2. #ChestertonsFence : Innovate, yes; but understand what you’re changing.
3. #LawofDiminishingReturns : Don’t brute-force growth. Calibrate it
4. #ParetoPrinciple : Not everything matters equally. Focus sharply.
5. #OccamsRazor : Simple scales. Simple sells. Simple succeeds.Source : #HarshMariwala #LinkedIn
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from the standpoint of model selection, parsimony often boils down to dimensionality reduction
#modelSelection #parsimony #OccamsRazor #dimensionalityReduction #degreesOfFreedom #complexity #informationTheory #biasVarianceTradeoff #overfitting #underfitting #optimization #parameterTuning #crossValidation #inverseProblems #inference #statisticalLearning #machineLearning #ML #dataScience #modeling #decisionTheory #fitting #regression #classification #residualError #costFunction #performanceLoss
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from the standpoint of model selection, parsimony often boils down to dimensionality reduction
#modelSelection #parsimony #OccamsRazor #dimensionalityReduction #degreesOfFreedom #complexity #informationTheory #biasVarianceTradeoff #overfitting #underfitting #optimization #parameterTuning #crossValidation #inverseProblems #inference #statisticalLearning #machineLearning #ML #dataScience #modeling #decisionTheory #fitting #regression #classification #residualError #costFunction #performanceLoss