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#### Learn more about Vector Machines with these recommended learning resources

#### Support Vector Machines — Thinking like vectors!

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…

Read more at Analytics Vidhya#### A Gentle Introduction to Vectors for Machine Learning

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 ...

Read more at Machine Learning Mastery#### Machine Learning Algorithms: Support Vector Machines

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…

Read more at Python in Plain English#### Machine Learning Algorithms: Support Vector Machines

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…...

Read more at Analytics Vidhya#### Support Vector Machines

“Support vector machine is a supervised machine learning algorithm that is mainly being used for classification purposes. In SVM algorithm an optimal hyperplane is generated which categorizes new…

Read more at Analytics Vidhya#### Support Vector Machines for Machine Learning

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...

Read more at Machine Learning Mastery#### Algorithms From Scratch: Support Vector Machine

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…

Read more at Towards Data Science#### Machine Learning Basics — Part 3 — Vector Machines, Unsupervised Learning and Principal Component…

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…

Read more at Towards Data Science#### 1.4. Support Vector Machines

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 ......

Read more at Scikit-learn User Guide#### Support Vector Machines for Classification

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…...

Read more at Towards Data Science#### Support Vector Machine

Abbreviated as SVM, support vector machine learning algorithm is commonly used for classification problems. It gives us a better way to understand a non-linear decision boundary.

Read more at Towards Data Science#### Vector Representations for Machine Learning

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

Read more at Towards Data Science#### Supporting the Math Behind Supporting Vector Machines!

A support vector machine is another simple algorithm that every machine learning expert should have in his/her arsenal. SVM | Machine Learning | Deep Learning | PEGASOS| Outliers | Supervised Learning...

Read more at Towards AI#### Support Vector Machines (SVM)

This article is about an introduction to SVMs, understanding the mathematical intuition, Regularization, implementing the concept in code, and then knowing the fields of its applications. Right then…

Read more at Towards Data Science#### SUPPORT VECTOR MACHINES(SVM)

Support Vector Machine are perhaps one of the most popular and talked about machine learning algorithms.They were extremely popular around the time they were developed in the 1990s and continue to be…...

Read more at Towards Data Science#### A Gentle Introduction to Vector Space Models

Last Updated on October 23, 2021 Vector space models are to consider the relationship between data that are represented by vectors. It is popular in information retrieval systems but also useful for o...

Read more at Machine Learning Mastery#### A Gentle Introduction to using Support Vector Machines for Classification

Support vector machines (SVM) are remarkable for the unification of geometric theory, elegant mathematics, theoretical guarantees with strong practical use cases. In this blog post, I demonstrate cert...

Read more at R-bloggers#### Support Vector Machines — Math Explained

Support vector machines were first introduced by Vladmir Vapnik and his colleagues at Bell Labs in 1992. However, many are not aware that basics of support vector machines were already developed in…

Read more at Analytics Vidhya#### Kernel Support Vector Machines from Scratch

The SVM (Support Vector Machine) is a supervised machine learning algorithm typically used for binary classification problems. That’s why training data is available to train the model. SVM uses a…

Read more at Analytics Vidhya#### In-Depth: Support Vector Machines

Support vector machines (SVMs) are a particularly powerful and flexible class of supervised algorithms for both classification and regression. In this section, we will develop the intuition behind sup...

Read more at Python Data Science Handbook#### Beyond Traditional Databases: A Look at Vector Databases for Machine Learning

Photo by Dustin Scarpitti on Unsplash Code Snippets in Python Introduction: Let's try to understand Vector databases in this article. * A vector database is a type of database that works with complex ...

Read more at Level Up Coding#### Support Vector Machines Explained

Support Vector machines are a common supervised machine learning algorithm used in both classification and regression problems, however are most commonly used for classification which will be the…

Read more at Python in Plain English#### Support Vector Machines explained

In this post we will unveil all the magic of what goes on in an SVM, cover a little bit of their history, and clarify when they should and should not be used. We will go through the theory and…

Read more at Towards Data Science#### Let’s Understand the Vector Space Model in Machine Learning by Modelling Cars

The model is used to represent documents in an n-dimensional space. But a “document” can mean any object you’re trying to model. Houses could have dimensions: number_of_rooms, sale_price…

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