28 Sep 2022
💡 Here is how to check model assumptions with easystats package in R: hubs.la/Q01nlSXr0
#R #ModelAssumption #DataScience
1
7
15
14 Nov 2020
Really wish "they" would
1. ban hidden i.i.d. assumption
⇨ explicit #ModelAssumption-s
2. stop teaching stats with dice
⇨ use explicit #StochasticProcess-es
3. stop teaching #ML with cats recognition
⇨ #NonStationaryLearning and treatment of time
x.com/h/NonStation…
2
5
28 Apr 2020
"Bayesian Network Modelling with Examples"
#BayesianNetwork #modelAssumption normality assumption
bnlearn.com/about/slides/sli…
1
1
9 Apr 2020
"Most statistical models assume linearity and few variable interactions .. real-world patterns .. nonlinear and highly interactive processes"
"statistically reinforced #machinelearning": taking nonlinearity and variable interactions into account
#ML #modelRisk #modelAssumption
12 Dec 2017
Statistically reinforced machine learning for nonlinear patterns and variable interactions onlinelibrary.wiley.com/doi/…
2
1
27 Feb 2020
"Without a model there is no statistical hypothesis test, and no statistical hypothesis test can validate the model assumption on which it is based"
#ML #ModelAssumption
#NonStationaryLearning
15 Oct 2018
I just published Non-Stationarity and Memory In Financial Markets medium.com/pit-ai-technologi…
6 Nov 2019
"#Tensorflow Probability" Deep #Bayesian Network #DNN
#ModelTraining under #heteroskedasticity
"learn both known and unknown unknowns"
#GaussianProcess : "treat loss as #randomvariable"
bit.ly/36GlMAk
No #MSE no simplistic #modelassumption
#MachineLearningEngineering
8 Mar 2019
Great talk on #TensorFlow Probability with focus on Deep Bayesian Networks from the #TFDevSummit youtube.com/watch?v=BrwKURU-… by Josh Dillon
3
6
21 Jul 2019
"Modeling concept drift: A probabilistic graphical model based approach"
stationary data distribution #ModelAssumption & "classification accuracy as an indication of #ConceptDrift" vs "explicitly represents it using #latentvariable-s"
bit.ly/2Gns6RK
#ML #ModelEvaluation
1