Data Science Dojo

MAY 27, 2024

A visual representation of generative AI – Source: Analytics Vidhya Generative AI is a growing area in machine learning, involving algorithms that create new content on their own. These algorithms use existing data like text, images, and audio to generate content that looks like it comes from the real world.

K-nearest Neighbors 338

K-nearest Neighbors Supervised Learning AI AI 338

Pickl AI

JANUARY 21, 2025

Summary: Machine Learning algorithms enable systems to learn from data and improve over time. These algorithms are integral to applications like recommendations and spam detection, shaping our interactions with technology daily. These intelligent predictions are powered by various Machine Learning algorithms.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Dataconomy

MARCH 4, 2025

It’s an integral part of data analytics and plays a crucial role in data science. By utilizing algorithms and statistical models, data mining transforms raw data into actionable insights. Data mining During the data mining phase, various techniques and algorithms are employed to discover patterns and correlations.

Data Mining 91

Data Mining Data Mining Data Mining Decision Trees 91

AWS Machine Learning Blog

NOVEMBER 18, 2024

Amazon OpenSearch Serverless is a serverless deployment option for Amazon OpenSearch Service, a fully managed service that makes it simple to perform interactive log analytics, real-time application monitoring, website search, and vector search with its k-nearest neighbor (kNN) plugin.

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K-nearest Neighbors AWS ML ML 115

Pickl AI

APRIL 13, 2025

Summary: Classifier in Machine Learning involves categorizing data into predefined classes using algorithms like Logistic Regression and Decision Trees. Classifiers are algorithms designed to perform this task efficiently, helping industries solve problems like spam detection, fraud prevention, and medical diagnosis.

Machine Learning 52

Machine Learning Machine Learning Decision Trees K-nearest Neighbors 52

Pickl AI

MARCH 26, 2024

Summary: The KNN algorithm in machine learning presents advantages, like simplicity and versatility, and challenges, including computational burden and interpretability issues. Nevertheless, its applications across classification, regression, and anomaly detection tasks highlight its importance in modern data analytics methodologies.

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K-nearest Neighbors Machine Learning Machine Learning Algorithm 52

Towards AI

JULY 15, 2024

We shall look at various machine learning algorithms such as decision trees, random forest, K nearest neighbor, and naïve Bayes and how you can install and call their libraries in R studios, including executing the code. I wrote about Python ML here. Join thousands of data leaders on the AI newsletter.

Machine Learning 116

Machine Learning Machine Learning Algorithm K-nearest Neighbors 116

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

AWS Machine Learning Blog

NOVEMBER 13, 2024

To search against the database, you can use a vector search, which is performed using the k-nearest neighbors (k-NN) algorithm. OpenSearch Serverless is a serverless option for OpenSearch Service, a powerful storage option built for distributed search and analytics use cases.

AWS 120

AWS Database K-nearest Neighbors AI 120

AWS Machine Learning Blog

FEBRUARY 5, 2025

Previously, OfferUps search engine was built with Elasticsearch (v7.10) on Amazon Elastic Compute Cloud (Amazon EC2), using a keyword search algorithm to find relevant listings. The search microservice processes the query requests and retrieves relevant listings from Elasticsearch using keyword search (BM25 as a ranking algorithm).

K-nearest Neighbors 89

K-nearest Neighbors Machine Learning Machine Learning Database 89

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. Sign up for our new newsletter here!

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K-nearest Neighbors AI AI Machine Learning 97

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. Instead of using explicit instructions for performance optimization, ML models rely on algorithms and statistical models that deploy tasks based on data patterns and inferences. What is machine learning?

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Dataconomy

APRIL 4, 2023

Artificial Intelligence (AI) models are the building blocks of modern machine learning algorithms that enable machines to learn and perform complex tasks. Moreover, early kinds of predictive analytics were powered by basic decision trees. What is an AI model? 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

Artificial Intelligence (AI) models are the building blocks of modern machine learning algorithms that enable machines to learn and perform complex tasks. Moreover, early kinds of predictive analytics were powered by basic decision trees. What is an AI model? 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

JUNE 3, 2024

Kinesis Video Streams makes it straightforward to securely stream video from connected devices to AWS for analytics, machine learning (ML), playback, and other processing. Determining the optimal value of K in the k-NN algorithm for vector similarity search is significant for balancing accuracy, performance, and cost.

AWS 125

AWS K-nearest Neighbors ML ML 125

AWS Machine Learning Blog

DECEMBER 6, 2023

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

SQL 130

SQL AWS Analytics Analytics 130

Mlearning.ai

NOVEMBER 29, 2023

All the previously, recently, and currently collected data is used as input for time series forecasting where future trends, seasonal changes, irregularities, and such are elaborated based on complex math-driven algorithms. The selection of the number of neighbors and feature selection is a daunting task.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

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. And did any of your favorites make it in?

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

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. He is also an adjunct lecturer in the MS data science and analytics program at Georgetown University in Washington D.C. An OpenSearch Service vector search is performed using these embeddings.

AWS 129

AWS ML ML Database 129

Pickl AI

NOVEMBER 18, 2024

Key steps involve problem definition, data preparation, and algorithm selection. It involves algorithms that identify and use data patterns to make predictions or decisions based on new, unseen data. Types of Machine Learning Machine Learning algorithms can be categorised based on how they learn and the data type they use.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

For instance, it can reveal the preferences of play callers, allow deeper understanding of how respective coaches and teams continuously adjust their strategies based on their opponent’s strengths, and enable the development of new defensive-oriented analytics such as uniqueness of coverages ( Seth et al. ). probability.

ML 98

ML ML Machine Learning Machine Learning 98

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 57

Clustering Algorithm Machine Learning Machine Learning 57

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. Decision Trees: A supervised learning algorithm that creates a tree-like model of decisions and their possible consequences, used for both classification and regression tasks.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

DagsHub

JUNE 24, 2024

A great example of traditional image features is SIFT (Scale Invariant Feature Transform) which is a quite involved algorithm that finds key points in images: Source: [link] By leveraging image embeddings, all the weight lifting of feature extraction is done by a neural network. As we can see, applications of image embeddings can vary.

Clustering 40

Clustering Machine Learning Machine Learning K-nearest Neighbors 40

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?

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Data Science Decision Trees Machine Learning Machine Learning 52