Feb 4, 2020 · The following are the curated list of interactive and animated visual explanations of various machine learning algorithms and concepts grouped together concept-wise in no order.

In VisuAlgo, you can use your own input for any algorithm instead of using only the provided sample inputs. This is one of the key feature of VisuAlgo. Try the graph drawing feature in these 9 graph-related visualizations: Graph DS, DFS/BFS, MST, SSSP, Max Flow, Matching, MVC, Steiner Tree, and TSP.

Feb 2, 2022 · Machine learning practitioners and stakeholders often require explanations of the results of classification algorithms. We introduce the class map, a novel visualization tool that helps end-users understand how a classifier makes its decisions.

Sep 16, 2024 · To present Machine Learning Algorithms in an eye-catching way, apply visual aids such as flowcharts or structure diagrams to illustrate complex concepts. To make those illustrations look professional, apply the slide design rules:

Jan 30, 2025 · Model visualization in machine learning is essential for gaining insights, making informed decisions, and effectively communicating results. In this article, we’ll delve into the art of machine learning visualization, exploring various techniques that help us make sense of complex data-driven systems.

Data classification diagrams are essential tools in data visualization that help categorize and display data within a predefined classification scheme. These diagrams utilize nodes (entities) and edges (relationships) to represent connections among different data points, allowing users to comprehend complex datasets at a glance.

Sep 4, 2024 · Classification algorithms organize and understand complex datasets in machine learning. These algorithms are essential for categorizing data into classes or labels, automating decision-making and pattern identification. Classification algorithms are often used to detect email spam by analyzing email content.

Dec 1, 2024 · A beginner-friendly visual journey through classification algorithms. Learn the intuition behind KNN, Naive Bayes, Decision Trees, and Neural Networks - all explained through clear...

Jan 20, 2025 · Classification teaches a machine to sort things into categories. It learns by looking at examples with labels (like emails marked “spam” or “not spam”). After learning, it can decide which category new items belong to, like identifying if a new email is spam or not.

Feb 8, 2025 · Classification, or more generally speaking, classification algorithms in machine learning, is a process by which we look at the characteristics of an object to classify (or identify) which class category it belongs to.