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? Often, these trees adhere to an elementary if/then structure.

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? Often, these trees adhere to an elementary if/then structure.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Towards AI

APRIL 14, 2023

Last Updated on April 17, 2023 by Editorial Team Author(s): Kevin Berlemont, PhD Originally published on Towards AI. The prediction is then done using a k-nearest neighbor method within the embedding space. Photo by Artem Maltsev on Unsplash Who hasn’t been on Stack Overflow to find the answer to a question?

K-nearest Neighbors 98

K-nearest Neighbors Algorithm Clustering Support Vector Machines 98

ODSC - Open Data Science

JANUARY 5, 2024

In this blog, we’re going to take a look at some of the top Python libraries of 2023 and see what exactly makes them tick. Top Python Libraries of 2023 and 2024 NumPy NumPy is the gold standard for scientific computing in Python and is always considered amongst top Python libraries. What’s next for me and these top Python libraries?

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

Pickl AI

SEPTEMBER 3, 2023

In 2023, the expected reach of the AI market is supposed to reach the $500 billion mark and in 2030 it is supposed to reach $1,597.1 An ensemble of decision trees is trained on both normal and anomalous data. Key Takeaways: As of 2021, the market size of Machine Learning was USD 25.58 CAGR during 2022-2030.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Algorithm 52

Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Anirudh Chandra Originally published on Towards AI. Feel free to try other algorithms such as Random Forests, Decision Trees, Neural Networks, etc., among supervised models and k-nearest neighbors, DBSCAN, etc., among unsupervised models.

Machine Learning 40

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines 40

Dataconomy

SEPTEMBER 1, 2023

By combining, for example, a decision tree with a support vector machine (SVM), these hybrid models leverage the interpretability of decision trees and the robustness of SVMs to yield superior predictions in medicine. The decision tree algorithm used to select features is called the C4.5

Decision Trees 195

Decision Trees Machine Learning Machine Learning Support Vector Machines 195