Analytics Vidhya

OCTOBER 6, 2021

Ever wondered, how great would it be, if we could predict, whether our request for a loan, will be approved or not, simply by the use of machine learning, from the ease and comfort […]. The post Loan Status Prediction using Support Vector Machine (SVM) Algorithm appeared first on Analytics Vidhya.

Support Vector Machines 328

Support Vector Machines Algorithm Machine Learning Machine Learning 328

Analytics Vidhya

OCTOBER 23, 2020

The post The Mathematics Behind Support Vector Machine Algorithm (SVM) appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Introduction One of the classifiers that we come across while learning about.

Support Vector Machines 298

Support Vector Machines Algorithm Data Science Analytics 298

Analytics Vidhya

JULY 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A Support Vector Machine (SVM) is a very powerful and. The post Support Vector Machine and Principal Component Analysis Tutorial for Beginners appeared first on Analytics Vidhya.

Support Vector Machines 291

Support Vector Machines Data Science Analytics Analytics 291

Analytics Vidhya

MARCH 8, 2021

ArticleVideo Book Objective Learn how the support vector machine works Understand the role and types of kernel functions used in an SVM. The post Beginner’s Guide to Support Vector Machine(SVM) appeared first on Analytics Vidhya. Introduction.

Support Vector Machines 250

Support Vector Machines Analytics Analytics Machine Learning 250

Analytics Vidhya

JULY 5, 2021

The post Start Learning SVM (Support Vector Machine) Algorithm Here! appeared first on Analytics Vidhya. 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.

Support Vector Machines 271

Support Vector Machines Algorithm Data Science Analytics 271

Analytics Vidhya

APRIL 26, 2021

The post Introduction to SVM(Support Vector Machine) Along with Python Code appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction This article aims to provide a basic understanding.

Support Vector Machines 271

Support Vector Machines Python Data Science Analytics 271

Analytics Vidhya

DECEMBER 23, 2024

Hinge loss is pivotal in classification tasks and widely used in Support Vector Machines (SVMs), quantifies errors by penalizing predictions near or across decision boundaries. appeared first on Analytics Vidhya. By promoting robust margins between classes, it enhances model generalization.

Machine Learning 205

Machine Learning Machine Learning Support Vector Machines Analytics 205

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 post Top 9 Most Frequently Asked Interview Questions on SVM appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

Support Vector Machines 394

Support Vector Machines Machine Learning Algorithm Machine Learning 394

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

Smart Data Collective

JULY 7, 2022

We have previously talked about the reasons that data analytics technology is changing the financial industry. Analytics Insight has touched on some of the benefits of using data analytics to make better stock market trades. Technical analysts can also benefit from investing in data analytics technology.

Analytics 145

Analytics Analytics Data Mining Data Mining 145

Analytics Vidhya

AUGUST 25, 2024

appeared first on Analytics Vidhya. Evaluation is more than ticking off metrics; it’s about ensuring your model consistently performs in the wild. In this article, we’ll dive […] The post Are You Making These Common Mistakes in Classification Modeling?

Machine Learning 290

Machine Learning Machine Learning Analytics Analytics 290

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. In this blog, we will explore the details of both approaches and navigate through their differences. What is Generative AI?

K-nearest Neighbors 338

K-nearest Neighbors Supervised Learning AI AI 338

Dataconomy

APRIL 8, 2025

Data science techniques are the backbone of modern analytics, enabling professionals to transform raw data into meaningful insights. By employing various methodologies, analysts uncover hidden patterns, predict outcomes, and support data-driven decision-making.

Data Science 91

Data Science Support Vector Machines Data Scientist Data Visualization 91

Pickl AI

JANUARY 21, 2025

Support Vector Machines (SVM) SVMs are powerful classification algorithms that work by finding the hyperplane that best separates different classes in high-dimensional space. Conclusion Machine Learning algorithms play a crucial role in automating decision-making processes across various industries.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Data Science Dojo

AUGUST 11, 2023

They play a pivotal role in predictive analytics and machine learning, enabling data scientists to make informed forecasts and decisions based on historical data patterns. Support vector machines are used to classify data and to predict continuous outcomes.

Data Science 195

Data Science Python Data Scientist Decision Trees 195

Pickl AI

JANUARY 12, 2025

Skills gap : These strategies rely on data analytics, artificial intelligence tools, and machine learning expertise. Develop Hybrid Models Combine traditional analytical methods with modern algorithms such as decision trees, neural networks, and support vector machines.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Pickl AI

FEBRUARY 2, 2025

Applications of Associative Classification Associative classification is a versatile technique used across multiple industries to improve decision-making and predictive analytics. Its ability to uncover hidden patterns in data makes it valuable for businesses and organizations.

Data Mining 52

Data Mining Data Mining Data Mining Decision Trees 52

Data Science Dojo

APRIL 10, 2023

According to a recent survey, 97% of organizations are now investing in data mining and analytics, recognizing the importance of this field in driving business success. In data mining, popular algorithms include decision trees, support vector machines, and k-means clustering.

Data Mining 195

Data Mining Data Mining Data Mining Algorithm 195

Towards AI

JULY 15, 2024

When it comes to the geospatial industry, R seems to be punching above its weight with numerous benefits, such as its easy integration with popular GIS applications like ArcGIS, QGIS, Google Earth engine, and GRASS GIS, which lets users combine the analytical power of R with the geospatial features of these applications. data = trainData) 5.

Machine Learning 119

Machine Learning Machine Learning Algorithm K-nearest Neighbors 119

ODSC - Open Data Science

FEBRUARY 13, 2023

Machine Learning for Beginners Learn the essentials of machine learning including how Support Vector Machines, Naive Bayesian Classifiers, and Upper Confidence Bound algorithms work. After this talk, you will have an intuitive understanding of these three algorithms and real-life problems where they can be applied.

Machine Learning 98

Machine Learning Machine Learning Deep Learning Deep Learning 98

Dataconomy

JUNE 13, 2023

Decision intelligence goes beyond traditional analytics by incorporating behavioral science to understand and model human decision-making Behavioral science integration Decision intelligence incorporates principles from behavioral science to understand and model human decision-making processes.

Power BI 103

Power BI Artificial Intelligence Artificial Intelligence Data Analysis 103

Towards AI

JUNE 19, 2024

– Algorithms: Support Vector Machines (SVM), Random Forest, Neural Networks. With the right guidance, selecting the most suitable algorithm will become straightforward and efficient. Examples of land cover classes include water, snow, grassland, deciduous forest, and bare soil.

Algorithm 81

Algorithm Clustering Support Vector Machines Machine Learning 81

Data Science Blog

OCTOBER 20, 2024

First, a robust data platform (such as a customer data platform; CDP) that can integrate data from various sources, such as tracking systems, ERP systems, e-commerce platforms to effectively perform data analytics. Moreover, random forest models as well as support vector machines (SVMs) are also frequently applied.

Machine Learning 130

Machine Learning Machine Learning Deep Learning Deep Learning 130

Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean? Let’s dig deeper and learn more about them!

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean? Let’s dig deeper and learn more about them!

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

MAY 25, 2023

When AI and IoT converge, we witness a synergy where AI empowers IoT devices with advanced analytics, automation, and intelligent decision-making. AI algorithms can uncover hidden correlations within IoT data, enabling predictive analytics and proactive actions.

Internet of Things 160

Internet of Things Artificial Intelligence Artificial Intelligence AI 160

IBM Journey to AI blog

DECEMBER 20, 2023

Supervised learning is commonly used for risk assessment, image recognition, predictive analytics and fraud detection, and comprises several types of algorithms. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others. temperature, salary).

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Pickl AI

SEPTEMBER 16, 2024

Support Vector Machines (SVM) Support Vector Machines are powerful supervised learning algorithms used for classification and regression tasks. Applications Predictive Analytics: Forecasting future trends based on historical data. Each tree trained on the residual errors of the previous trees.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

IBM Journey to AI blog

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve. appeared first on IBM Blog.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

AUGUST 1, 2023

Text mining is also known as text analytics or Natural Language Processing (NLP). 7 Advantages of Text Mining Text mining, also known as text analytics, refers to the process of extracting useful information and insights from large volumes of unstructured text data. What are the common applications of text mining?

Data Analysis 52

Data Analysis Data Analysis Python Support Vector Machines 52

AWS Machine Learning Blog

FEBRUARY 5, 2024

HSR.health is a geospatial health risk analytics firm whose vision is that global health challenges are solvable through human ingenuity and the focused and accurate application of data analytics. This data serves as a fundamental pillar in the analytics framework. One of the models used is a support vector machine (SVM).

ML 104

ML ML AWS Analytics 104

Pickl AI

JANUARY 29, 2024

Markets for each field are booming, offering diverse job roles, especially in Machine Learning for Data Analytics. As we navigate this landscape, the interconnected world of Data Science, Machine Learning, and AI defines the era of 2024, emphasising the importance of these fields in shaping the future.

Data Science 52

Data Science ML ML Machine Learning 52

Dataconomy

AUGUST 9, 2023

It constructs multiple decision trees and combines their predictions to achieve accurate results in identifying different types of network traffic Support Vector Machines (SVM) : SVM is used for both classification and anomaly detection.

Machine Learning 91

Machine Learning Machine Learning ML ML 91

Pickl AI

AUGUST 9, 2024

It also addresses security, privacy concerns, and real-world applications across various industries, preparing students for careers in data analytics and fostering a deep understanding of Big Data’s impact. Velocity It indicates the speed at which data is generated and processed, necessitating real-time analytics capabilities.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

How to Learn Machine Learning

JUNE 9, 2024

Researchers are exploring quantum algorithms such as the Quantum Support Vector Machine and the Quantum Approximate Optimization Algorithm in order to enhance predictive analytics. It dramatically shortens computing times for complex algorithms.

Machine Learning 52

Machine Learning Machine Learning ML ML 52