Artificial Intelligence, K-nearest Neighbors and Supervised Learning

Machine Learning Algorithms Explained with Real-World Use Cases

How to Learn Machine Learning

JULY 6, 2025

They learn from historical data as an improvement to their knowledge and, as such, adjust themselves over time and alter their performance from experience. Machine learning forms a core subset of artificial intelligence and has a heavy influence in modern technology ranging from recommendation engines to self-driving cars.

Machine Learning

Machine Learning Machine Learning Algorithm Clustering

Use language embeddings for zero-shot classification and semantic search with Amazon Bedrock

AWS Machine Learning Blog

FEBRUARY 13, 2025

This is the k-nearest neighbor (k-NN) algorithm. In k-NN, you can make assumptions around a data point based on its proximity to other data points. You can use the embedding of an article and check the similarity of the article against the preceding embeddings.

AWS

AWS K-nearest Neighbors Clustering Algorithm

Generative vs Discriminative AI: Understanding the 5 Key Differences

Data Science Dojo

MAY 27, 2024

In the recent discussion and advancements surrounding artificial intelligence, there’s a notable dialogue between discriminative and generative AI approaches. Generative AI often operates in unsupervised or semi-supervised learning settings, generating new data points based on patterns learned from existing data.

K-nearest Neighbors

K-nearest Neighbors Supervised Learning AI AI

Webinars

Precision in Motion: Why Process Optimization Is the Future of Manufacturing

Airflow Best Practices for ETL/ELT Pipelines

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KNNs & K-Means: The Superior Alternative to Clustering & Classification.

Towards AI

SEPTEMBER 3, 2024

We will discuss KNNs, also known as K-Nearest Neighbours and K-Means Clustering. K-Nearest Neighbors (KNN) is a supervised ML algorithm for classification and regression. Quick Primer: What is Supervised? I’m trying out a new thing: I draw illustrations of graphs, etc.,

K-nearest Neighbors

K-nearest Neighbors Clustering Supervised Learning ML

From Pixels to Places: Harnessing Geospatial Data with Machine Learning.

Towards AI

APRIL 4, 2024

Machine learning (ML) has proven that it is here with us for the long haul, everyone who had their doubts by calling it a phase should by now realize how wrong they are, ML has being used in various sector’s of society such as medicine, geospatial data, finance, statistics and robotics.

K-nearest Neighbors

K-nearest Neighbors Machine Learning Machine Learning Decision Trees

Everything you should know about AI models

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?

K-nearest Neighbors

K-nearest Neighbors Decision Trees AI AI

Everything you should know about AI models

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?

K-nearest Neighbors

K-nearest Neighbors Decision Trees AI AI

Five machine learning types to know

IBM Journey to AI blog

DECEMBER 20, 2023

What is machine learning? 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. Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks.

Machine Learning

Machine Learning Machine Learning Supervised Learning Clustering

Anomaly detection in machine learning: Finding outliers for optimization of business functions

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

Machine Learning Machine Learning Supervised Learning K-nearest Neighbors

Machine learning world easy-to-understand overview for beginners

Mlearning.ai

FEBRUARY 17, 2023

A complete explanation of the most widely practical and efficient field, that nowadays has an impact on every industry Photo by Thomas T on Unsplash Machine learning has become one of the most rapidly evolving and popular fields of technology in recent years. In this article, I will cover all of them. Reward(1) or punishment(0).

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Clustering

A Guide to Unsupervised Machine Learning Models | Types | Applications

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. Unsupervised Learning Algorithms Unsupervised Learning Algorithms tend to perform more complex processing tasks in comparison to supervised learning.

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Clustering

Understanding and Building Machine Learning Models

Pickl AI

NOVEMBER 18, 2024

Ethical considerations are crucial in developing fair Machine Learning solutions. 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

Machine Learning Machine Learning Decision Trees Algorithm

Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

SEPTEMBER 12, 2024

Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence. Association Rule Learning: A rule-based Machine Learning method to discover interesting relationships between variables in large databases.

Data Analyst

Data Analyst Data Science Machine Learning Machine Learning

Credit Card Fraud Detection Using Spectral Clustering

PyImageSearch

SEPTEMBER 16, 2024

Machine Learning Methods Machine learning methods ( Figure 7 ) can be divided into supervised, unsupervised, and semi-supervised learning techniques. Figure 7: Machine learning methods for identifying outliers or anomalies (source : Turing ). unusual network traffic patterns). And that’s exactly what I do.

Clustering

Clustering Algorithm Machine Learning Machine Learning

Data Science Current

Machine Learning Algorithms Explained with Real-World Use Cases

Use language embeddings for zero-shot classification and semantic search with Amazon Bedrock

Webinars

Trending Sources

Generative vs Discriminative AI: Understanding the 5 Key Differences

Webinars

KNNs & K-Means: The Superior Alternative to Clustering & Classification.

From Pixels to Places: Harnessing Geospatial Data with Machine Learning.

Everything you should know about AI models

Everything you should know about AI models

Five machine learning types to know

Anomaly detection in machine learning: Finding outliers for optimization of business functions

Machine learning world easy-to-understand overview for beginners

A Guide to Unsupervised Machine Learning Models | Types | Applications

Understanding and Building Machine Learning Models

Basic Data Science Terms Every Data Analyst Should Know

Credit Card Fraud Detection Using Spectral Clustering

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