Flipboard

NOVEMBER 17, 2023

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. Vector data is a type of data that represents a point in a high-dimensional space.

K-nearest Neighbors 170

K-nearest Neighbors AWS Clustering Database 170

AWS Machine Learning Blog

FEBRUARY 25, 2025

Instead of relying on predefined, rigid definitions, our approach follows the principle of understanding a set. Its important to note that the learned definitions might differ from common expectations. Model invocation We use Anthropics Claude 3 Sonnet model for the natural language processing task.

Algorithm 76

Algorithm Machine Learning Machine Learning K-nearest Neighbors 76

DagsHub

JUNE 24, 2024

Understanding Image Embeddings Definition and Basics At its core, image embedding, also referred to as latent vector or representation, is a technique that transforms high-dimensional image data into a more manageable, lower-dimensional numerical representation. They have proved to yield better results than CNNs in some applications.

Clustering 40

Clustering Machine Learning Machine Learning K-nearest Neighbors 40

Pickl AI

JULY 26, 2023

In this article, we will explore the definitions, differences, and impacts of bias and variance, along with strategies to strike a balance between them to create optimal models that outperform the competition. Gender Bias in Natural Language Processing (NLP) NLP models can develop biases based on the data they are trained on.

Machine Learning 52

Machine Learning Machine Learning Cross Validation Decision Trees 52

Pickl AI

NOVEMBER 18, 2024

Key steps involve problem definition, data preparation, and algorithm selection. Natural language processing ( NLP ) allows machines to understand, interpret, and generate human language, which powers applications like chatbots and voice assistants. Data quality significantly impacts model performance.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Dataconomy

MARCH 7, 2025

Definition and structure of feature vectors A feature vector contains numerical values that represent the attributes of an observed phenomenon. This process adjusts the magnitude and orientation of vectors, reducing biases that can occur due to varied feature scales.

K-nearest Neighbors 91

K-nearest Neighbors Machine Learning Machine Learning ML 91