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

Pickl AI

APRIL 13, 2025

Pattern Recognition and Prediction Classification algorithms excel at recognizing patterns in data, which is crucial for: Predictive Analytics : By learning from historical data, classification models can predict future outcomes. Support Vector Machines (SVM) SVM finds the optimal hyperplane that separates classes with maximum margin.

Machine Learning 52

Machine Learning Machine Learning Decision Trees K-nearest Neighbors 52

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

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 119

Machine Learning Machine Learning Algorithm K-nearest Neighbors 119

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?

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?

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

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.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92