ODSC - Open Data Science

FEBRUARY 10, 2025

Choose an Appropriate Algorithm As with all machine learning processes, algorithm selection is also crucial. K-nearest neighbors are sufficient for detecting specific medialike in copyright protectionbut less reliable when analyzing a broad range of factors.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Natural Language Processing 52

ODSC - Open Data Science

DECEMBER 14, 2023

Photo Mosaics with Nearest Neighbors: Machine Learning for Digital Art In this post, we focus on a color-matching strategy that is of particular interest to a data science or machine learning audience because it utilizes a K-nearest neighbors (KNN) modeling approach.

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K-nearest Neighbors AI AI Machine Learning 97

Flipboard

JANUARY 19, 2025

Leveraging a comprehensive dataset of diverse fault scenarios, various machine learning algorithms—including Random Forest (RF), K-Nearest Neighbors (KNN), and Long Short-Term Memory (LSTM) networks—are evaluated.

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K-nearest Neighbors Machine Learning Machine Learning Algorithm 65

AWS Machine Learning Blog

FEBRUARY 13, 2025

However, to demonstrate how this system works, we use an algorithm designed to reduce the dimensionality of the embeddings, t-distributed Stochastic Neighbor Embedding (t-SNE) , so that we can view them in two dimensions. This is the k-nearest neighbor (k-NN) algorithm.

AWS 93

AWS K-nearest Neighbors Clustering Algorithm 93

Dataconomy

APRIL 4, 2023

Artificial intelligence (AI) is a broad term that encompasses the ability of computers and machines to perform tasks that normally require human intelligence, such as reasoning, learning, decision-making, and problem-solving. An AI model is a crucial part of artificial intelligence. What is an AI model?

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K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

Artificial intelligence (AI) is a broad term that encompasses the ability of computers and machines to perform tasks that normally require human intelligence, such as reasoning, learning, decision-making, and problem-solving. An AI model is a crucial part of artificial intelligence. What is an AI model?

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K-nearest Neighbors Decision Trees AI AI 91

IBM Journey to AI blog

DECEMBER 20, 2023

Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. What is machine learning?

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

IBM Journey to AI blog

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

Machine Learning 82

Machine Learning Machine Learning Supervised Learning K-nearest Neighbors 82

Mlearning.ai

APRIL 6, 2023

However, with a wide range of algorithms available, it can be challenging to decide which one to use for a particular dataset. In this article, we will discuss some of the factors to consider while selecting a classification & Regression machine learning algorithm based on the characteristics of the data.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Mlearning.ai

FEBRUARY 17, 2023

Basically, Machine learning is a part of the Artificial intelligence field, which is mainly defined as a technic that gives the possibility to predict the future based on a massive amount of past known or unknown data. ML algorithms can be broadly divided into supervised learning , unsupervised learning , and reinforcement learning.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Clustering 52

AWS Machine Learning Blog

FEBRUARY 25, 2025

Instead of treating each input as entirely unique, we can use a distance-based approach like k-nearest neighbors (k-NN) to assign a class based on the most similar examples surrounding the input. For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module.

Algorithm 70

Algorithm Machine Learning Machine Learning K-nearest Neighbors 70

Pickl AI

JULY 17, 2023

Machine Learning is a subset of artificial intelligence (AI) that focuses on developing models and algorithms that train the machine to think and work like a human. The following blog will focus on Unsupervised Machine Learning Models focusing on the algorithms and types with examples.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Clustering 52

PyImageSearch

JUNE 19, 2023

Each service uses unique techniques and algorithms to analyze user data and provide recommendations that keep us returning for more. By analyzing how users have interacted with items in the past, we can use algorithms to approximate the utility function and make personalized recommendations that users will love.

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K-nearest Neighbors Clustering Algorithm Deep Learning 56

Towards AI

FEBRUARY 19, 2025

But heres the catch scanning millions of vectors one by one (a brute-force k-Nearest Neighbors or KNN search) is painfully slow. Instead, vector databases rely on Approximate Nearest Neighbors (ANN) techniques, which trade a tiny bit of accuracy for massive speed improvements. 💡 Why?

Database 70

Database K-nearest Neighbors Machine Learning Machine Learning 70

AWS Machine Learning Blog

APRIL 19, 2024

We perform a k-nearest neighbor (k-NN) search to retrieve the most relevant embeddings matching the user query. The user input is converted into embeddings using the Amazon Titan Text Embeddings model accessed using Amazon Bedrock. An OpenSearch Service vector search is performed using these embeddings.

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ODSC - Open Data Science

JANUARY 5, 2024

Scikit-learn A machine learning powerhouse, Scikit-learn provides a vast collection of algorithms and tools, making it a go-to library for many data scientists. It is easy to use, with a well-documented API and a wide range of tutorials and examples available.

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

Pickl AI

NOVEMBER 18, 2024

Key steps involve problem definition, data preparation, and algorithm selection. Basics of Machine Learning Machine Learning is a subset of Artificial Intelligence (AI) that allows systems to learn from data, improve from experience, and make predictions or decisions without being explicitly programmed.

Machine Learning 52

Machine Learning Machine Learning Decision Trees Algorithm 52

AWS Machine Learning Blog

NOVEMBER 9, 2023

This retrieval can happen using different algorithms. Formally, often k-nearest neighbors (KNN) or approximate nearest neighbor (ANN) search is often used to find other snippets with similar semantics. Semantic retrieval BM25 focuses on lexical matching.

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AWS Natural Language Processing K-nearest Neighbors Computer Science 100

Pickl AI

SEPTEMBER 12, 2024

A Algorithm: A set of rules or instructions for solving a problem or performing a task, often used in data processing and analysis. Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

PyImageSearch

SEPTEMBER 16, 2024

Home Table of Contents Credit Card Fraud Detection Using Spectral Clustering Understanding Anomaly Detection: Concepts, Types and Algorithms What Is Anomaly Detection? Jump Right To The Downloads Section Understanding Anomaly Detection: Concepts, Types, and Algorithms What Is Anomaly Detection? Looking for the source code to this post?

Clustering 56

Clustering Algorithm Machine Learning Machine Learning 56

Mlearning.ai

FEBRUARY 15, 2023

Figure 4 Data Cleaning Conventional algorithms are often biased towards the dominant class, ignoring the data distribution. For some applications, such as fraud detection or cancer prediction, we may need to configure our model carefully or artificially balance the dataset, such as by undersampling or oversampling each class.

Cross Validation 52

Cross Validation Decision Trees Algorithm Natural Language Processing 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

We design a K-Nearest Neighbors (KNN) classifier to automatically identify these plays and send them for expert review. We design an algorithm that automatically identifies the ambiguity between these two classes as the overlapping region of the clusters. The results show that most of them were indeed labeled incorrectly.

ML 75

ML ML Machine Learning Machine Learning 75

Mlearning.ai

JUNE 6, 2023

HOGs are great feature detectors and can also be used for object detection with SVM but due to many other State of the Art object detection algorithms like YOLO, SSD, present out there, we don’t use HOGs much for object detection. This is a simple project. I have used Boston Housing Data for this use case.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

Mlearning.ai

MAY 23, 2023

An interdisciplinary field that constitutes various scientific processes, algorithms, tools, and machine learning techniques working to help find common patterns and gather sensible insights from the given raw input data using statistical and mathematical analysis is called Data Science. What is Data Science? Let us see some examples.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Flipboard

DECEMBER 18, 2024

improves search results for best matching 25 (BM25), a keyword-based algorithm that performs lexical search, in addition to semantic search. It supports advanced features such as result highlighting, flexible pagination, and k-nearest neighbor (k-NN) search for vector and semantic search use cases.

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K-nearest Neighbors AWS ML ML 121

Dataconomy

MARCH 28, 2025

Machine learning algorithms represent a transformative leap in technology, fundamentally changing how data is analyzed and utilized across various industries. Their application spans a wide array of tasks, from categorizing information to predicting future trends, making them an essential component of modern artificial intelligence.

Machine Learning 91

Machine Learning Machine Learning Algorithm K-nearest Neighbors 91

Dataconomy

FEBRUARY 26, 2025

Causal AI refers to a specialized field of artificial intelligence that focuses on identifying cause-and-effect relationships within data. Discover causal relationships: Algorithms sift through data, uncovering connections that signify causality rather than simply correlation. What is causal AI?

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K-nearest Neighbors AI AI Artificial Intelligence 91