diff --git a/README.md b/README.md index c7e8fef1..de250167 100644 --- a/README.md +++ b/README.md @@ -96,7 +96,7 @@ This material exists as supplementary educational material for [Machine Learning **Title**: [The Bias Variance Tradeoff](https://mlu-explain.github.io/bias-variance/) -**Summary**: Understand the tradeoff between under- and over-fitting models, how it relates to bias and variance, and explore interactive examples related to LASSO and KNN. +**Summary**: Understand the tradeoff between under- and over-fitting models, how it relates to bias and variance, and explore interactive examples related to LOESS and KNN. **Code**: [/code/bias-variance/](/code/bias-variance) @@ -116,7 +116,7 @@ This material exists as supplementary educational material for [Machine Learning ## Double Descent 2: A Mathematical Explanation -Double Descent 2 Article Image +Double Descent 2 Article Image **Title**: [Double Descent 2](https://mlu-explain.github.io/double-descent2/) @@ -128,7 +128,7 @@ This material exists as supplementary educational material for [Machine Learning ## Running Locally -This article holds code for each articles, as well as the generated builds from the code (e.g. the static assets comprising the articles). +This article holds code for each articles (under the `code` directory), as well as the generated builds from the code (e.g. the static assets comprising the articles). First, clone this repo. @@ -151,7 +151,7 @@ Now, to run the development version: npm start ``` -To build and view the static assests: +To build and view the static assets: ```bash # build assets diff --git a/assets/gifs/double-desent2.gif b/assets/gifs/double-descent2.gif similarity index 100% rename from assets/gifs/double-desent2.gif rename to assets/gifs/double-descent2.gif diff --git a/code/bias-variance/index.html b/code/bias-variance/index.html index d82398b1..d6866f8b 100644 --- a/code/bias-variance/index.html +++ b/code/bias-variance/index.html @@ -473,7 +473,7 @@

It's Finally Over

Exhales deeply. It's finally over. Thanks for reading! We hope that the article is insightful no matter where you are along your machine learning journey, and that you came away with a better - undersatnding of the bias variance tradeoff.

+ understanding of the bias variance tradeoff.

To make things compact, we skipped over some relevant topics (such as regularization), but stay-tuned for more MLU-Explain articles, where we plan to explain those, and other, topics related to machine