Flipboard

NOVEMBER 17, 2023

Set up a MongoDB cluster To create a free tier MongoDB Atlas cluster, follow the instructions in Create a Cluster. MongoDB Atlas Vector Search uses a technique called k-nearest neighbors (k-NN) to search for similar vectors. k-NN works by finding the k most similar vectors to a given vector.

K-nearest Neighbors 170

K-nearest Neighbors AWS Clustering Database 170

Data Science Dojo

JANUARY 30, 2024

Exploring Disease Mechanisms : Vector databases facilitate the identification of patient clusters that share similar disease progression patterns. Here are a few key components of the discussed process described below: Feature engineering : Transforming raw clinical data into meaningful numerical representations suitable for vector space.

Database 361

Database K-nearest Neighbors Natural Language Processing Algorithm 361

Pickl AI

JULY 17, 2023

Unsupervised Learning Algorithms Unsupervised Learning Algorithms tend to perform more complex processing tasks in comparison to supervised learning. However, unsupervised learning can be highly unpredictable compared to natural learning methods. K-Means Clustering: K-means is a popular and widely used clustering algorithm.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Clustering 52

IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

Machine Learning 97

Machine Learning Machine Learning Supervised Learning Clustering 97

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

DagsHub

JUNE 24, 2024

This can lead to enhancing accuracy but also increasing the efficiency of downstream tasks such as classification, retrieval, clusterization, and anomaly detection, to name a few. This can lead to higher accuracy in tasks like image classification and clusterization due to the fact that noise and unnecessary information are reduced.

Clustering 52

Clustering Machine Learning Machine Learning K-nearest Neighbors 52