---
title: "#supervised-learning articles | Hashnode"
description: "Explore 215 articles tagged #supervised-learning on Hashnode. Tutorials, guides, and how-tos from the community."
url: "https://hashnode.com/tag/supervised-learning"
---

Tag

# #supervised-learning

215 posts · 11 followers

[Muhammad Ariel Shakaramiro](https://hashnode.com/@arielshakaramiro) · [Sep 4](https://hashnode.com/posts/supervised-vs-unsupervised-learning-machine-learning-basics/6a9a344ea58658f0f0ff2dbc)

### [Machine Learning from Scratch: Supervised vs Unsupervised Learning (and How to Tell If a Model Actually Learned)](https://shaka-ai.hashnode.dev/supervised-vs-unsupervised-learning-machine-learning-basics?utm_source=hashnode&utm_medium=feed)

Learn the difference between Supervised and Unsupervised Learning, how they work, and how to measure performance with accuracy, precision, recall.

9 min read · [shaka-ai.hashnode.dev](https://shaka-ai.hashnode.dev/supervised-vs-unsupervised-learning-machine-learning-basics?utm_source=hashnode&utm_medium=feed)

[3](https://hashnode.com/posts/supervised-vs-unsupervised-learning-machine-learning-basics/6a9a344ea58658f0f0ff2dbc)

[Tharun](https://hashnode.com/@tharun-pandya) · [Aug 10](https://hashnode.com/posts/what-does-it-mean-for-a-machine-to-learn/6a79a5b966268148451b6f1c)

### [What Does It Mean For a Machine to "Learn"?](https://tharunpandya.hashnode.dev/what-does-it-mean-for-a-machine-to-learn?utm_source=hashnode&utm_medium=feed)

Ever wondered how a machine actually learns? Learn the core idea behind ML using data, parameters, predictions, and simple real-world examples.

7 min read · [tharunpandya.hashnode.dev](https://tharunpandya.hashnode.dev/what-does-it-mean-for-a-machine-to-learn?utm_source=hashnode&utm_medium=feed)

[Hao Hua](https://hashnode.com/@h2c) · [Jul 21](https://hashnode.com/posts/conceptual-training-and-inference-workflow-of-a-deep-learning-model-for-supervised-learning-task/6a5eda6ef1e336441dc8dba8)

### [Conceptual Training and Inference Workflow of a Deep Learning Model for Supervised Learning Task](https://h2c-blogs.hashnode.dev/conceptual-training-and-inference-workflow-of-a-deep-learning-model-for-supervised-learning-task?utm_source=hashnode&utm_medium=feed)

TL;DR This page conceptually describes the inference workflow of a Deep Learning Model, wherein a pretrained Deep Learning Model may receive an input for the inference of an output according to the p

6 min read · [h2c-blogs.hashnode.dev](https://h2c-blogs.hashnode.dev/conceptual-training-and-inference-workflow-of-a-deep-learning-model-for-supervised-learning-task?utm_source=hashnode&utm_medium=feed)

[Berkan Sesen](https://hashnode.com/@berkansesen) · [Jul 5](https://hashnode.com/posts/handling-class-imbalance-downsampling-smote-and-beyond/6a4a4b6560ef028b52111076)

### [Handling Class Imbalance: Downsampling, SMOTE, and Beyond](https://sesenai.hashnode.dev/handling-class-imbalance-downsampling-smote-and-beyond?utm_source=hashnode&utm_medium=feed)

Compare five strategies for imbalanced classification: random downsampling, upsampling, SMOTE, and class weights. Evaluate with precision-recall curves and F1, not just accuracy.

13 min read · [sesenai.hashnode.dev](https://sesenai.hashnode.dev/handling-class-imbalance-downsampling-smote-and-beyond?utm_source=hashnode&utm_medium=feed)

[Silent Scribe](https://hashnode.com/@silentscribe) · [Jul 4](https://hashnode.com/posts/from-study-hours-to-scores-how-linear-regression-predicts-the-future/6a48aca909a2a0be9d46ad83)

### [From Study Hours to Scores: How Linear Regression Predicts the Future](https://silentscribejournal.hashnode.dev/from-study-hours-to-scores-how-linear-regression-predicts-the-future?utm_source=hashnode&utm_medium=feed)

Discover how Linear Regression predicts outcomes like student marks using a simple formula, Python steps, and real examples.

4 min read · [silentscribejournal.hashnode.dev](https://silentscribejournal.hashnode.dev/from-study-hours-to-scores-how-linear-regression-predicts-the-future?utm_source=hashnode&utm_medium=feed)

[Berkan Sesen](https://hashnode.com/@berkansesen) · [Jun 29](https://hashnode.com/posts/aic-and-bic-choosing-the-right-model-without-overfitting/6a422fe2328f4f8cb9f3575d)

### [AIC and BIC: Choosing the Right Model Without Overfitting](https://sesenai.hashnode.dev/aic-and-bic-choosing-the-right-model-without-overfitting?utm_source=hashnode&utm_medium=feed)

Derive the log-likelihood from first principles, then build AIC and BIC as penalised model selection criteria. Compare polynomial fits, visualise the bias-variance tradeoff, and understand when to use each criterion.

13 min read · [sesenai.hashnode.dev](https://sesenai.hashnode.dev/aic-and-bic-choosing-the-right-model-without-overfitting?utm_source=hashnode&utm_medium=feed)

[Divyajot Kaur](https://hashnode.com/@djk2004) · [Jun 26](https://hashnode.com/posts/understanding-logistic-regression/6a3e50d70f5d5d9fb19ca565)

### [Part 12: Logistic Regression: How Machines Learn to Make Yes-or-No Decisions](https://ai-beginners-journey.hashnode.dev/understanding-logistic-regression?utm_source=hashnode&utm_medium=feed)

A simple, step-by-step guide to understanding how Logistic Regression makes accurate classification decisions.

6 min read · [ai-beginners-journey.hashnode.dev](https://ai-beginners-journey.hashnode.dev/understanding-logistic-regression?utm_source=hashnode&utm_medium=feed)

[Divyajot Kaur](https://hashnode.com/@djk2004) · [Jun 20](https://hashnode.com/posts/what-is-gradient-descent/6a361a4199a822fb43da7309)

### [Part 11: What is Gradient Descent?](https://ai-beginners-journey.hashnode.dev/what-is-gradient-descent?utm_source=hashnode&utm_medium=feed)

How Machine Learning Models Learn and Improve

4 min read · [ai-beginners-journey.hashnode.dev](https://ai-beginners-journey.hashnode.dev/what-is-gradient-descent?utm_source=hashnode&utm_medium=feed)

[Berkan Sesen](https://hashnode.com/@berkansesen) · [Jun 12](https://hashnode.com/posts/lda-vs-pca-supervised-meets-unsupervised-dimensionality-reduction/6a2c3271d617a213c25a71ce)

### [LDA vs PCA: Supervised Meets Unsupervised Dimensionality Reduction](https://sesenai.hashnode.dev/lda-vs-pca-supervised-meets-unsupervised-dimensionality-reduction?utm_source=hashnode&utm_medium=feed)

Compare PCA and Fisher's Linear Discriminant Analysis on the Iris dataset. Learn when unsupervised reduction fails, why labels matter, and the eigenvalue problem behind both methods.

13 min read · [sesenai.hashnode.dev](https://sesenai.hashnode.dev/lda-vs-pca-supervised-meets-unsupervised-dimensionality-reduction?utm_source=hashnode&utm_medium=feed)

[Anik Chand](https://hashnode.com/@anikchand461) · [May 23](https://hashnode.com/posts/2-supervised-vs-unsupervised-learning/6a11826e1a3cf7bffc0a25e6)

### [#2 Supervised vs Unsupervised Learning](https://anikchandml.hashnode.dev/2-supervised-vs-unsupervised-learning?utm_source=hashnode&utm_medium=feed)

Machine Learning is a branch of Artificial Intelligence (AI) that enables computers to learn from data and make predictions or decisions without being explicitly programmed. Machine learning is mainl

2 min read · [anikchandml.hashnode.dev](https://anikchandml.hashnode.dev/2-supervised-vs-unsupervised-learning?utm_source=hashnode&utm_medium=feed)
