Analytics Vidhya

JULY 5, 2021

The post Start Learning SVM (Support Vector Machine) Algorithm Here! ArticleVideo Book This article was published as a part of the Data Science Blogathon Source Overview In this article, we will learn the working of. appeared first on Analytics Vidhya.

Support Vector Machines 271

Support Vector Machines Algorithm Data Science Analytics 271

Machine Learning Mastery

NOVEMBER 21, 2023

The Support Vector Machine algorithm is one of the most popular supervised machine learning techniques, and it comes implemented in the OpenCV library. This tutorial will introduce the necessary skills to start using Support Vector Machines in OpenCV, using a custom dataset that we will generate.

Support Vector Machines 268

Support Vector Machines Machine Learning Machine Learning Algorithm 268

KDnuggets

SEPTEMBER 12, 2019

This article explains the Support Vector Machines (SVM) algorithm in an easy way.

Support Vector Machines 298

Support Vector Machines Algorithm Machine Learning Machine Learning 298

Analytics Vidhya

JUNE 3, 2022

Introduction Classification problems are often solved using supervised learning algorithms such as Random Forest Classifier, Support Vector Machine, Logistic Regressor (for binary class classification) etc. The post One Class Classification Using Support Vector Machines appeared first on Analytics Vidhya.

Support Vector Machines 297

Support Vector Machines Supervised Learning Data Science Algorithm 297

Analytics Vidhya

JUNE 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Support Vector Machine (SVM) is one of the Machine Learning. The post The A-Z guide to Support Vector Machine appeared first on Analytics Vidhya.

Support Vector Machines 305

Support Vector Machines Machine Learning Machine Learning Data Science 305

KDnuggets

AUGUST 23, 2022

This post focuses on building an intuition of the Support Vector Machine algorithm in a classification context and an in-depth understanding of how that graphical intuition can be mathematically represented in the form of a loss function.

Support Vector Machines 271

Support Vector Machines Algorithm Machine Learning Machine Learning 271

Dataconomy

APRIL 17, 2025

Support vector machines (SVM) are at the forefront of machine learning techniques used for both classification and regression tasks. What are support vector machines (SVMs)? Advantages of support vector machines SVMs offer several advantages, particularly in terms of accuracy and efficiency.

Support Vector Machines 91

Support Vector Machines Machine Learning Machine Learning Algorithm 91

Dataconomy

MARCH 12, 2025

Support Vector Machines (SVM) are a cornerstone of machine learning, providing powerful techniques for classifying and predicting outcomes in complex datasets. What are Support Vector Machines (SVM)? They define the way data is transformed and can greatly affect the performance of the algorithm.

Support Vector Machines 91

Support Vector Machines Decision Trees Supervised Learning Machine Learning 91

Towards AI

NOVEMBER 2, 2024

Support Vector Machines, or SVM, is a machine learning algorithm that, in its original form, is utilized for binary classification. Last Updated on November 3, 2024 by Editorial Team Author(s): Fernando Guzman Originally published on Towards AI.

Support Vector Machines 111

Support Vector Machines Machine Learning Machine Learning Algorithm 111

Analytics Vidhya

MARCH 26, 2020

Unlocking a New World with the Support Vector Regression Algorithm Support Vector Machines (SVM) are popularly and widely used for classification problems in machine. The post Support Vector Regression Tutorial for Machine Learning appeared first on Analytics Vidhya.

Machine Learning 358

Machine Learning Machine Learning Support Vector Machines Algorithm 358

Analytics Vidhya

OCTOBER 16, 2022

Introduction Support vector machine is one of the most famous and decorated machine learning algorithms in classification problems. The heart and soul of this algorithm is the concept of Hyperplanes where these planes help to categorize the high dimensional data which are either […].

Support Vector Machines 394

Support Vector Machines Algorithm Machine Learning Machine Learning 394

Flipboard

NOVEMBER 28, 2023

In a previous tutorial, we have explored the use of the Support Vector Machine algorithm as one of the most popular supervised machine learning techniques that comes implemented in the OpenCV library.

Support Vector Machines 160

Support Vector Machines Machine Learning Machine Learning Algorithm 160

KDnuggets

AUGUST 7, 2019

There are dozens of machine learning algorithms out there. It is impossible to learn all their mechanics; however, many algorithms sprout from the most established algorithms, e.g. ordinary least squares, gradient boosting, support vector machines, tree-based algorithms and neural networks.

Support Vector Machines 299

Support Vector Machines Algorithm Machine Learning Machine Learning 299

Data Science Dojo

JULY 15, 2024

By understanding machine learning algorithms, you can appreciate the power of this technology and how it’s changing the world around you! Let’s unravel the technicalities behind this technique: The Core Function: Regression algorithms learn from labeled data , similar to classification.

Machine Learning 307

Machine Learning Machine Learning Algorithm Clustering 307

Dataconomy

APRIL 29, 2025

Regression algorithms are powerful tools that help us make sense of complex data by predicting continuous numeric values based on various inputs. Whether in finance, healthcare, or environmental science, these algorithms establish relationships between variables, enabling organizations to forecast outcomes and make informed decisions.

Algorithm 91

Algorithm Support Vector Machines Data Analysis Data Analysis 91

Data Science Dojo

MAY 24, 2023

Machine learning practices are the guiding principles that transform raw data into powerful insights. By following best practices in algorithm selection, data preprocessing, model evaluation, and deployment, we unlock the true potential of machine learning and pave the way for innovation and success. The amount of data you have.

Machine Learning 367

Machine Learning Machine Learning Data Scientist Support Vector Machines 367

Analytics Vidhya

MARCH 28, 2024

Introduction The One-Class Support Vector Machine (SVM) is a variant of the traditional SVM. It is specifically tailored to detect anomalies. Its primary aim is to locate instances that notably deviate from the standard.

Support Vector Machines 316

Support Vector Machines Machine Learning Machine Learning Analytics 316

Analytics Vidhya

MAY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Before the sudden rise of neural networks, Support Vector Machines. The post Top 15 Questions to Test your Data Science Skills on SVM appeared first on Analytics Vidhya.

Data Science 229

Data Science Support Vector Machines Analytics Analytics 229

Data Science Dojo

FEBRUARY 7, 2023

Two common types of regularization are L1 and L2 regularization. Generic computation algorithms: Generic computation algorithms are a set of algorithms that can be applied to a wide range of problems. These algorithms are often used to solve optimization problems, such as gradient descent and conjugate gradient.

Data Analysis 370

Data Analysis Data Analysis Support Vector Machines Algorithm 370

Pickl AI

JANUARY 21, 2025

Summary: Machine Learning algorithms enable systems to learn from data and improve over time. These algorithms are integral to applications like recommendations and spam detection, shaping our interactions with technology daily. These intelligent predictions are powered by various Machine Learning algorithms.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Flipboard

MAY 31, 2025

This study aims to explore the effectiveness of machine learning algorithms in predicting high school students’ negative academic emotions and analyze the factors influencing these emotions, providing valuable insights for promoting the psychological health of high school students.

Machine Learning 81

Machine Learning Machine Learning Decision Trees Support Vector Machines 81

Dataconomy

MARCH 28, 2025

Machine learning algorithms represent a transformative leap in technology, fundamentally changing how data is analyzed and utilized across various industries. What are machine learning algorithms? Regression: Focuses on predicting continuous values, such as forecasting sales or estimating property prices.

Machine Learning 91

Machine Learning Machine Learning Algorithm K-nearest Neighbors 91

Dataconomy

APRIL 29, 2025

Overview of classification in machine learning Classification serves as a foundational method in machine learning, where algorithms are trained on labeled datasets to make predictions. Key algorithms in binary classification Several algorithms can be employed for binary classification tasks, each with its unique advantages.

Support Vector Machines 91

Support Vector Machines Machine Learning Machine Learning Algorithm 91

Dataconomy

APRIL 8, 2025

Among the most significant models are non-linear models, support vector machines, and linear regression. Support vector machines (SVM) Support Vector Machines are a robust classification technique in machine learning.

Data Science 91

Data Science Support Vector Machines Data Scientist Data Visualization 91

Data Science Dojo

FEBRUARY 15, 2023

Ultimately, we can use two or three vital tools: 1) [either] a simple checklist, 2) [or,] the interdisciplinary field of project-management, and 3) algorithms and data structures. In addition to the mindful use of the above twelve elements, our Google-search might reveal that various authors suggest some vital algorithms for data science.

K-nearest Neighbors 195

K-nearest Neighbors Decision Trees Support Vector Machines Data Science 195

Data Science Dojo

FEBRUARY 14, 2024

These features can be used to improve the performance of Machine Learning Algorithms. Here, we can observe a drastic improvement in our model accuracy when we apply the same algorithm to standardized features. Feature Engineering is a process of using domain knowledge to extract and transform features from raw data.

K-nearest Neighbors 243

K-nearest Neighbors Machine Learning Machine Learning Support Vector Machines 243

Dataconomy

MARCH 25, 2025

Hyperplanes are pivotal fixtures in the landscape of machine learning, acting as crucial decision boundaries that help classify data into distinct categories. Their role extends beyond mere classification; they also facilitate regression and clustering, demonstrating their versatility across various algorithms. What is a hyperplane?

Support Vector Machines 91

Support Vector Machines Machine Learning Machine Learning Clustering 91

Data Science Dojo

MAY 27, 2024

A visual representation of generative AI – Source: Analytics Vidhya Generative AI is a growing area in machine learning, involving algorithms that create new content on their own. These algorithms use existing data like text, images, and audio to generate content that looks like it comes from the real world.

K-nearest Neighbors 338

K-nearest Neighbors Supervised Learning AI AI 338

Towards AI

JULY 3, 2024

When it comes to the three best algorithms to use for spatial analysis, the debate is never-ending. The competition for best algorithms can be just as intense in machine learning and spatial analysis, but it is based more objectively on data, performance, and particular use cases. Also, what project are you working on?

K-nearest Neighbors 101

K-nearest Neighbors Machine Learning Machine Learning Algorithm 101

Dataconomy

MARCH 25, 2025

Definition of decision boundary The definition of a decision boundary is rooted in its functionality within classification algorithms. It can manifest in various forms, such as linear or non-linear, depending on the underlying data distribution and the algorithm employed.

Support Vector Machines 91

Support Vector Machines Machine Learning Machine Learning Clustering 91

Mlearning.ai

MAY 12, 2023

Support Vector Machine: A Comprehensive Guide — Part1 Support Vector Machines (SVMs) are a type of supervised learning algorithm used for classification and regression analysis. Submission Suggestions Support Vector Machine: A Comprehensive Guide — Part1 was originally published in MLearning.ai

Support Vector Machines 52

Support Vector Machines Natural Language Processing Supervised Learning Algorithm 52

Mlearning.ai

MAY 22, 2023

Support Vector Machine: A Comprehensive Guide — Part2 In my last article, we discussed SVMs, the geometric intuition behind SVMs, and also Soft and Hard margins. Transformed Data into 2-D Data Conclusion Support Vector Machines (SVMs) offer a powerful framework for classification and regression tasks.

Support Vector Machines 52

Support Vector Machines Machine Learning Machine Learning Algorithm 52

Pickl AI

APRIL 13, 2025

Summary: Classifier in Machine Learning involves categorizing data into predefined classes using algorithms like Logistic Regression and Decision Trees. Introduction Machine Learning has revolutionized how we process and analyse data, enabling systems to learn patterns and make predictions.

Machine Learning 52

Machine Learning Machine Learning Decision Trees K-nearest Neighbors 52

Dataconomy

AUGUST 28, 2023

The concept of a kernel in machine learning might initially sound perplexing, but it’s a fundamental idea that underlies many powerful algorithms. There are mathematical theorems that support the working principle of all automation systems that make up a large part of our daily lives. Which type should you prefer?

Machine Learning 172

Machine Learning Machine Learning Algorithm Support Vector Machines 172

Dataconomy

FEBRUARY 26, 2025

Here are notable examples: Facial recognition software Facial recognition algorithms analyze facial features to identify individuals. This milestone showcased the potential of machines to recognize and process complex patterns. This technology is widely used in security systems and social media to tag individuals in photos.

Support Vector Machines 91

Support Vector Machines Machine Learning Machine Learning Decision Trees 91

Dataconomy

APRIL 16, 2025

Supervised learning is a powerful approach within the expansive field of machine learning that relies on labeled data to teach algorithms how to make predictions. Supervised learning refers to a subset of machine learning techniques where algorithms learn from labeled datasets.

Supervised Learning 91

Supervised Learning Decision Trees Algorithm Machine Learning 91

Towards AI

JULY 15, 2024

We shall look at various machine learning algorithms such as decision trees, random forest, K nearest neighbor, and naïve Bayes and how you can install and call their libraries in R studios, including executing the code. Radom Forest install.packages("randomForest")library(randomForest) 4. data = trainData) 5.

Machine Learning 116

Machine Learning Machine Learning Algorithm K-nearest Neighbors 116