"y=Xβ+ϵ and the interpretation of the coefficients"
Derek L. Sonderegger (2020), Statistical Methods: https://bookdown.org/dereksonderegger/571/

#probabilities #stats #statistics #ML #linearRegression #interpretability #RStats

This same idea scales up in modern AI systems:
learn from data → predict.

Linear regression isn’t about complexity.
It’s about building intuition — and realizing you can understand how intelligent systems learn.

#sameidea #linearregression #intelligentsystems #intelligentsystem #scaleup

What actually powers LinearRegression under the hood? This piece digs into the hidden engine behind it and why that internal design matters for your models.

Read More: https://zalt.me/blog/2026/01/hidden-linear-engine

#LinearRegression #MachineLearning #MLModels #SoftwareDesign

Before diving into deep learning hype, remember the power of classic algorithms. Linear regression, decision trees, and thoughtful feature engineering still drive real‑world analytics and revenue. Master these fundamentals and your neural nets will perform better, faster, and cheaper. Curious how the basics outpace the buzz? Read on. #NeuralNetworks #LinearRegression #DecisionTrees #FeatureEngineering

🔗 https://aidailypost.com/news/master-fundamentals-before-neural-networks-core-algorithms-power

Unlock the secrets of Linear Regression Machine Learning! A comprehensive guide for beginners. Dive into predictive modeling and data analysis. #MachineLearning #LinearRegression #DataScience

https://teguhteja.id/linear-regression-machine-learning-guide/?utm_source=mastodon&utm_medium=jetpack_social

S1 EP1 T1 - Most basic machine learning example #machinelearning #linearregression #python #jupyternotebook #jupyter #datascience #alogrithim #statistics #coding #codingforbeginners #deeplearning #mathematics #dataengineering #learncoding

How linear regression works intuitively and how it leads to gradient descent

https://briefer.cloud/blog/posts/least-squares/

#HackerNews #linearregression #gradientdescent #machinelearning #statistics #dataanalysis

Assessment Of Snow Cover Dynamics And The Effects Of Environmental Drivers In High Mountain Ecosystems
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https://doi.org/10.1016/j.eiar.2025.107969 <-- shared paper
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#GIS #spatial #mapping #remotesensing #earthobservation #snow #ice #snowcover #dynamics #climatechange #mountains #ecosystems #spatialanalysis #spatiotemporal #MODIS #model #modeling #extremeweather #water #hydrology #climate #zones #trendanalysis #linearregression #RandomForest #cryosphere

Is machine learning merely a form of curve-fitting?
#machinelearning #ai #curvefitting #linearregression #buzzwords

Forecasting in Excel using Linear Regression

Forecasting #LinearRegression Hello Friends, In this video, you will learn how to do the sales forecasting in Excel. We have ... source

https://quadexcel.com/wp/forecasting-in-excel-using-linear-regression/

Bingqian Su et al. established a #Database based on #RobiniaPseudoacacia growth and its driving factors on China’s #LoessPlateau, developed #PlantGrowthModels considering #ForestAge, #Density, #ClimateFactors and #TopographicFactors using #LinearRegression and three #MachineLearningMethods.
https://doi.org/10.1093/jpe/rtae104

New article out folks
Check it out
https://medium.com/@neuralrow/cross-validation-1df416898697

#DataScience #MachineLearning #CrossValidation #LinearRegression #DeepLearning #NeuralNetworks

How to Train Machine Learning model withou ML Library with simple Python code a internal work ? then follow below link - it has video also

https://amitdhanani.in/2025/02/15/how-to-train-machine-learning-model-withou-ml-library-with-simple-python-code-a-internal-work/

#machinelearning #python #linearregression #ml #mlwithoutlibrary #pythonml #supervisedLearning

@data @datadon 🧵

Accuracy! To counter regression dilution, a method is to add a constraint on the statistical modeling.
Regression Redress restrains bias by segregating the residual values.
My article: http://data.yt/kit/regression-redress.html

#bias #modeling #dataDev #AIDev #modelEvaluation #regression #modelling #dataLearning #linearRegression #probability #probabilities #statistics #stats #correctionRatio #ML #distributions #accuracy #RegressionRedress #Python #RStats

@data @datadon 🧵

How to assess a statistical model?
How to choose between variables?

Pearson's #correlation is irrelevant if you suspect that the relationship is not a straight line.

If monotonic relationship:
"#Spearman’s rho is particularly useful for small samples where weak correlations are expected, as it can detect subtle monotonic trends." It is "widespread across disciplines where the measurement precision is not guaranteed".
"#Kendall’s Tau-b is less affected [than Spearman’s rho] by outliers in the data, making it a robust option for datasets with extreme values."
Ref: https://statisticseasily.com/kendall-tau-b-vs-spearman/

#normality #normalDistribution #modeling #dataDev #AIDev #ML #modelEvaluation #regression #modelling #dataLearning #featureEngineering #linearRegression #modeling #probability #probabilities #statistics #stats #correctionRatio #ML #Pearson #bias #regressionRedress #distributions

#AI #interpretability vs #explainability 🧵

"The explanations themselves can be difficult to convey to nonexperts, such as end users and line-of-business teams" https://www.techtarget.com/searchenterpriseai/feature/Interpretability-vs-explainability-in-AI-and-machine-learning

#AIEthics #compliance #taxonomy #ethicalAI #AIEvaluation #linearRegression #trust #neuralNetworks #ML #governance #AIgovernance #safety #bias

When and Why to Use #Bootstrap for #LinearRegression?
To explore the insights and rationale behind this approach, we invite you to read our latest #BlogPost.
>>> https://medium.com/@neuralrow/bootstrap-algorithm-for-linear-regression-3f20c27b9178

#MachineLearning #DataScience #NeuralRow #Statistics #Probability #DataAnalyst #Heteroskedasticity
#StatisticalInference #HypothesisTest

Master SAS/STAT for Complex Statistical Analysis | CoListy
Prepare for SAS/STAT certification, focusing on variance analysis, regression, and model performance. | CoListy
#freeonlinelearning #colisty #courselist #sas/stat #statisticalanalysis #linearregression #logisticregression #analysisofvariance #predictivemodeling #modelperformance #sascertification #dataanalysis #sasprofessionals #statisticalsoftware #modelpreparation

https://colisty.netlify.app/courses/sas-certification-practice-exam-statistical-business-analysis-using-sas-9-regression-and-modeling/

@data @datadon 🧵

Redressing #Bias: "Correlation Constraints for Regression Models":
Treder et al (2021) https://doi.org/10.3389/fpsyt.2021.615754

#dataDev #linearRegression #modeling #probability #probabilities #statistics #stats #modelling #regression #correctionRatio #skLearn #scikitLearn #python #AIDev

"In real life, we weigh the anticipated consequences of the decisions that we are about to make. That approach is much more rational than limiting the percentage of making the error of one kind in an artificial (null hypothesis) setting or using a measure of evidence for each model as the weight."
Longford (2005) http://www.stat.columbia.edu/~gelman/stuff_for_blog/longford.pdf

#modeling #nullHypothesis #probability #probabilities #pValues #statistics #stats #statisticalLiteracy #bias #inference #modelling #regression #linearRegression