Vector Machines - Learn Data Science with Travis

Travis chat

Support Vector Machines — Thinking like vectors!

Analytics Vidhya

Support vector machines work well in high dimensional space with clear margin or separation thus thinking like vectors. Support Vector Machine(SVM) is a supervised non-linear machine learning…

A Gentle Introduction to Vectors for Machine Learning

Machine Learning Mastery

Last Updated on October 17, 2021 Vectors are a foundational element of linear algebra. Vectors are used throughout the field of machine learning in the description of algorithms and processes such as ...

Support Vector Machines

Analytics Vidhya

In machine learning, support vector machines are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. Given a set of…

Machine Learning Algorithms: Support Vector Machines

Python in Plain English

Classifying data is a common task in machine learning. For instance, let us assume a data point is to belong to one of two classes, and the goal is to determine which class a new data point will…

Machine Learning Algorithms: Support Vector Machines

Analytics Vidhya

In this third article of the Machine Learning algorithms series, I will be discussing the most popular supervised learning algorithm, Support Vector Machines. They can be used for both classification…...

Support Vector Machine

Analytics Vidhya

Support Vector Machines are the most commonly used supervised learning algorithms for classification problems. This post discusses the mathematics/intuition behind Linear SVM algorithms with a light…

Support Vector Machines for Machine Learning

Machine Learning Mastery

Last Updated on August 15, 2020 Support Vector Machines are perhaps one of the most popular and talked about machine learning algorithms. They were extremely popular around the time they were develope...

Algorithms From Scratch: Support Vector Machine

Towards Data Science

A popular algorithm that is capable of performing linear or non-linear classification and regression, Support Vector Machines were the talk of the town before the rise of deep learning due to the…

1.4. Support Vector Machines

Scikit-learn User Guide

Support vector machines (SVMs) are a set of supervised learning methods used for classification, regression and outliers detection. The advantages of support vector machines are: Effective in high ......

Machine Learning Basics — Part 3 — Vector Machines, Unsupervised Learning and Principal Component…

Towards Data Science

In this article I revisit the learned material from the amazing machine learning course by Andre Ng on Coursera and create an overview about the concepts. The article is not designed as a tutorial…

Support Vector Machines for Classification

Towards Data Science

Classification in Machine Learning is the task of learning to distinguish points that belong to two or more categories in a dataset. In geometrical terms, associating a set of points to some category…...

Vector Representations for Machine Learning

Towards Data Science

How data scientists convert real-world objects in numerical representation for the development of machine learning models Continue reading on Towards Data Science