Data Science Dojo

MAY 27, 2024

In this blog, we will explore the details of both approaches and navigate through their differences. A visual representation of discriminative AI – Source: Analytics Vidhya Discriminative modeling, often linked with supervised learning, works on categorizing existing data. What is Generative AI?

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K-nearest Neighbors Supervised Learning AI AI 338

Data Science Dojo

FEBRUARY 15, 2023

Image Credit: Pinterest – Problem solving tools In last week’s post , DS-Dojo introduced our readers to this blog-series’ three focus areas, namely: 1) software development, 2) project-management, and 3) data science. This week, we continue that metaphorical (learning) journey with a fun fact. IoT, Web 3.0,

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K-nearest Neighbors Decision Trees Support Vector Machines Data Science 195

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.,

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Pickl AI

JANUARY 21, 2025

These intelligent predictions are powered by various Machine Learning algorithms. This blog explores various types of Machine Learning algorithms, illustrating their functionalities and applications with relevant examples. Key Takeaways Machine Learning enables systems to learn from data without explicit programming.

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Machine Learning Machine Learning Algorithm Decision Trees 52

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.

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AWS K-nearest Neighbors Clustering Algorithm 105

IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning types Machine learning algorithms fall into five broad categories: supervised learning, unsupervised learning, semi-supervised learning, self-supervised and reinforcement learning. the target or outcome variable is known). temperature, salary).

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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.

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Machine Learning Machine Learning Supervised Learning K-nearest Neighbors 82