AWS Machine Learning Blog

APRIL 3, 2024

We detail the steps to use an Amazon Titan Multimodal Embeddings model to encode images and text into embeddings, ingest embeddings into an OpenSearch Service index, and query the index using the OpenSearch Service k-nearest neighbors (k-NN) functionality. Open the titan_mm_embed_search_blog.ipynb notebook.

K-nearest Neighbors 136

K-nearest Neighbors AWS Machine Learning Machine Learning 136

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

AWS Machine Learning Blog

FEBRUARY 25, 2025

Libraries The programming language used in this code is Python, complemented by the LangChain module, which is specifically designed to facilitate the integration and use of LLMs. This module provides a comprehensive set of tools and abstractions that streamline the process of incorporating and deploying these advanced AI models.

Algorithm 82

Algorithm Machine Learning Machine Learning K-nearest Neighbors 82

AWS Machine Learning Blog

JANUARY 6, 2023

For more information about the natural language understanding-powered search functionalities of OpenSearch Service, refer to Building an NLU-powered search application with Amazon SageMaker and the Amazon OpenSearch Service KNN feature. Initializes the OpenSearch Service client using the Boto3 Python library. Solution overview.

AWS 101

AWS ML ML Machine Learning 101

Mlearning.ai

JUNE 6, 2023

In today’s blog, we will see some very interesting Python Machine Learning projects with source code. This is one of the best Machine learning projects in Python. Doctor-Patient Appointment System in Python using Flask Hey guys, in this blog we will see a Doctor-Patient Appointment System for Hospitals built in Python using Flask.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

AWS Machine Learning Blog

JUNE 3, 2024

Alternatively, you can use a serverless Lambda function to extract frames of a stored video file with the Python OpenCV library. 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).

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AWS K-nearest Neighbors ML ML 122