Statistics for Machine Learning A-Z Part 2

Author(s): Gencay I.

Originally published on Towards AI.

Briefly Explained

This member-only story is on us. Upgrade to access all of Medium.

Image by Author

Contents

· Introduction· Terms ∘ Mean Square Error ∘ Pairwise Comparison ∘ Bootstrapping ∘ Chi-square ∘ Correlation ∘ Residual ∘ Intercept ∘ Slope ∘ Extrapolate ∘ Interpolate ∘ Linearity ∘ Nearly Normal Residuals ∘ Constant Variability ∘ Explanatory Variable ∘ Responsible Variable ∘ Collinearity ∘ Parsimony ∘ Backward Elimination ∘ Forward Selection ∘ Outliers ∘ Precision ∘ Recall ∘ F1 score ∘ Sum of Squares Total ∘ Population ∘ Sample ∘ A/B Testing· Conclusion

Let me start like in the first part of this article.

I believe machine… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI