Daily update | 25 December, 2021
Medium
Improve your Model Performance with Auto-Encoders
Author: Satyam Kumar
Claps: 38
Source: data-science
Description: Use Autoencoders as a Feature Extractor
Linear Programming with a small example with gurobipy
Author: Vitomir Jovanović
Claps: 30
Source: machine-learning
Description: Linear programming is an optimization technique for a system of linear constraints and a linear objective function. An objective function…
What Are the Prevailing Explainability Methods?
Author: Aparna Dhinakaran
Claps: 15
Source: machine-learning
Description: Welcome to “The Slice,” a new blog series that explains the essence of ML concepts
Data will be there for you like it’s been there before
Author: Janani
Claps: 11
Source: data-science
Description: An extensive data analysis, which validates and explores the humongous fan base of one of the best sitcom series ever — ‘F.R.I.E.N.D.S’
Can you trust your model when data shifts?
Author: Laura Gorrieri
Claps: 10
Source: artificial-intelligence
Description: In real-case applications, machine learning is not as common as we would expect: let’s explore why.
StackExchange
Can I use a Mann-Whitney U Test with a very small sample?
Source: stats
Views: 116
Score: 4
Tags: hypothesis-testing nonparametric sample-size wilcoxon-mann-whitney-test
Does using the same bootstrap samples to calculate multiple estimators cause inappropriate correlation between the estimators?
Source: stats
Views: 13
Score: 3
Tags: bootstrap
What are the downsides of ARIMA models?
Source: stats
Views: 27
Score: 3
Tags: time-series arima autocorrelation stochastic-processes
Is there a clustering method that allows me to indicate the number of points desired per cluster?
Source: stats
Views: 11
Score: 2
Tags: python clustering
What is the preferred statistical analysis for a correlational study with multiple independent variables and one dependent variable?
Source: stats
Views: 15
Score: 1
Tags: regression