machine learning algorithms Archives

Diagram showing the common algorithms in AI: supervised, unsupervised, and reinforcement learning with named workhorse algorithms.

by Sanksshep Mahendra Updated October 7, 2026 at 9:24 am

AI

Common Algorithms in AI: Supervised, Unsupervised, and Reinforcement Learning

Why it matters: Compare supervised, unsupervised, and reinforcement learning algorithms, see named case studies, and learn how to pick the right AI algorithm for your project.

Visual guide to the top 20 machine learning algorithms explained for 2026 covering supervised, unsupervised, and deep learning

by Sanksshep Mahendra Updated June 8, 2026 at 6:01 pm

AI

Machine Learning Algorithms

Why it matters: Top 20 machine learning algorithms explained for 2026: a complete list of common and advanced ML algorithms with examples, code paths, and real-world wins.

Diagram explaining what is semi-supervised learning by combining labeled and unlabeled data to train a classifier.

by Sanksshep Mahendra Updated August 11, 2026 at 11:47 am

AI

What Is Semi-Supervised Learning

Why it matters: What is semi-supervised learning? See how a small labeled dataset and a huge unlabeled pool train accurate models, with examples, algorithms, and case studies.

Machine Learning Algorithms Explained: Types and Examples diagram showing supervised, unsupervised, and reinforcement learning families with a comparison table

by Sanksshep Mahendra Updated July 4, 2026 at 8:50 pm

AI

Machine Learning Algorithms Explained: Types and Examples

Why it matters: Machine learning algorithms explained clearly: types, examples, live case studies, risks, and how they work. What are machine learning algorithms? Start here.

Linear regression in machine learning visualization showing a best-fit line through scattered data points with Python scikit-learn code and performance metrics displayed

by Sanksshep Mahendra Updated May 20, 2026 at 12:00 pm

AI

How to Use Linear Regression in Machine Learning

Why it matters: Master linear regression in machine learning with Python code, scikit-learn tutorials, evaluation metrics, and real case studies that show you exactly how to build predictive models.

Understanding machine learning: from theory to algorithms, visual guide covering supervised, unsupervised, and reinforcement learning techniques

by Sanksshep Mahendra Updated May 28, 2026 at 8:21 am

AI

Understanding Machine Learning: From Theory to Algorithms

Why it matters: Master machine learning from theory to algorithms: supervised, unsupervised, reinforcement learning, bias-variance tradeoff, MLOps, and 2026 market trends.