AWS Machine Learning Blog

MARCH 11, 2025

simple Finance Did meta have any mergers or acquisitions in 2022? The implementation included a provisioned three-node sharded OpenSearch Service cluster. Retrieval (and reranking) strategy FloTorch used a retrieval strategy with a k-nearest neighbor (k-NN) of five for retrieved chunks.

K-nearest Neighbors 98

K-nearest Neighbors AWS Database AI 98

IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others. K-means clustering is commonly used for market segmentation, document clustering, image segmentation and image compression.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

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? In March of 2022, DeepMind released Chinchilla AI.

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? In March of 2022, DeepMind released Chinchilla AI.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

PyImageSearch

JUNE 19, 2023

Recall@K is then defined as We can define several other metrics based on precision-recall (e.g., Each service uses unique techniques and algorithms to analyze user data and provide recommendations that keep us returning for more. Figure 1: Distribution of applications of recommendation systems (source: Ko et al., This is described in Table 1.

K-nearest Neighbors 55

K-nearest Neighbors Clustering Algorithm Deep Learning 55

Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. And this work appeared in AAAI 2022. The following is a transcript of his presentation, edited lightly for readability. AB : Got it.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52

Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. And this work appeared in AAAI 2022. The following is a transcript of his presentation, edited lightly for readability. AB : Got it.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52