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Tag: KNN

Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities | Amazon Web Services

This is a guest post co-authored by Shravan Kumar and Avirat S from Gramener. Gramener, a Straive...

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Build scalable and serverless RAG workflows with a vector engine for Amazon OpenSearch Serverless and Amazon Bedrock Claude models | Amazon Web Services

In pursuit of a more efficient and customer-centric support system, organizations are deploying cutting-edge generative AI applications. These applications are designed to excel in...

Implement a custom AutoML job using pre-selected algorithms in Amazon SageMaker Automatic Model Tuning | Amazon Web Services

AutoML allows you to derive rapid, general insights from your data right at the beginning of a machine learning (ML) project lifecycle. Understanding up...

Customizing coding companions for organizations | Amazon Web Services

Generative AI models for coding companions are mostly trained on publicly available source code and natural language text. While the large size of...

Transforming Search Engines with Vector Indexing and Vector Searches: A Comprehensive Guide

In the ever-evolving landscape of information retrieval and data search, traditional search engines are facing new challenges. The exponential growth of data, the need...

Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities | Amazon Web Services

This guest post is co-written by Lydia Lihui Zhang, Business Development Specialist, and Mansi Shah, Software Engineer/Data Scientist, at Planet Labs. The analysis that...

Data science vs. machine learning: What’s the difference?

Data science vs. machine learning: What’s the difference? <!----> ...

Build A ChatGPT For YouTube Videos with Langchain

Introduction Have you ever wondered how good it would be to chat with a video? As a blog person myself, it often bores me to...

From Theory to Practice: Building a k-Nearest Neighbors Classifier – KDnuggets

Another day, another classic algorithm: k-nearest neighbors. Like the naive Bayes classifier, it’s a rather simple method to solve classification problems. The algorithm is intuitive and...

Machine Learning Unlocks Insights For Stress Detection

Introduction Stress is a natural response of the body and mind to a demanding or challenging situation. It is the body’s way of reacting to...

Build a ChatGPT for PDFs with Langchain

Introduction In just six months, OpenAI’s ChatGPT has become an integral part of our lives. It’s not just limited to tech anymore; people of all...

What is K-Means Clustering and How Does its Algorithm Work?

Image from Bing Image Creator Fundamentally, there are four types of machine learning algorithms; supervised algorithms, semi-supervised algorithms, unsupervised algorithms and reinforcement learning algorithms....

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