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 92

Machine Learning Machine Learning Supervised Learning Clustering 92

AWS Machine Learning Blog

APRIL 19, 2024

This solution includes the following components: Amazon Titan Text Embeddings is a text embeddings model that converts natural language text, including single words, phrases, or even large documents, into numerical representations that can be used to power use cases such as search, personalization, and clustering based on semantic similarity.

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AWS ML ML Database 124

AWS Machine Learning Blog

JUNE 3, 2024

You store the embeddings of the video frame as a k-nearest neighbors (k-NN) vector in your OpenSearch Service index with the reference to the video clip and the frame in the S3 bucket itself (Step 3). The following diagram visualizes the semantic search with natural language processing (NLP).

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AWS K-nearest Neighbors ML ML 115

AWS Machine Learning Blog

JANUARY 6, 2023

OpenSearch Service offers kNN search, which can enhance search in use cases such as product recommendations, fraud detection, and image, video, and some specific semantic scenarios like document and query similarity. Solution overview. Matthew Rhodes is a Data Scientist I working in the Amazon ML Solutions Lab.

AWS 101

AWS ML ML Machine Learning 101

Mlearning.ai

FEBRUARY 15, 2023

Introduction In natural language processing, text categorization tasks are common (NLP). The bag of words model is a method for extracting characteristics from the text in which the presence (and often the frequency) of words is considered for each document or text in our example, but the order in which they occur is ignored.

Cross Validation 52

Cross Validation Decision Trees Algorithm Natural Language Processing 52

Pickl AI

SEPTEMBER 12, 2024

J Jupyter Notebook: An open-source web application that allows users to create and share documents containing live code, equations, visualisations, and narrative text. K K-Means Clustering: An unsupervised learning algorithm that partitions data into K distinct clusters based on feature similarity.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Mlearning.ai

JUNE 6, 2023

Document Scanner using OpenCV So guys, in this blog we will see how we can build a very simple yet powerful Document scanner using OpenCV. How to perform Face Recognition using KNN In this blog, we will see how we can perform Face Recognition using KNN (K-Nearest Neighbors Algorithm) and Haar cascades.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

DagsHub

DECEMBER 23, 2024

  Image classification Text categorization Document sorting Sentiment analysis Medical image diagnosis Advantages Pool-based active learning can leverage relationships between data points through techniques like density-based sampling and cluster analysis.   Traditional Active Learning has the following characteristics.

Deep Learning 52

Deep Learning Deep Learning Supervised Learning Clustering 52

Google Research AI blog

NOVEMBER 28, 2022

Jiang, Wenda Li, Szymon Tworkowski, Konrad Czechowski, Tomasz Odrzygóźdź, Piotr Miłoś, Yuhuai Wu , Mateja Jamnik TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s Felix Chern , Blake Hechtman , Andy Davis , Ruiqi Guo , David Majnemer , Sanjiv Kumar When Does Dough Become a Bagel?

Machine Learning 52

Machine Learning Machine Learning Algorithm Clustering 52