Machine Learning Articles

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Jayanta Adhikary Jayanta Adhikary
Updated on July 08, 2025

How to Use Ollama API to Run LLMs and Generate Responses

Ollama is an open-source platform that allows users to run LLMs locally using a REST API. Here’s how to use it.

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Sadrach Pierre Sadrach Pierre
Updated on July 08, 2025

How to Find Outliers (With Examples)

Outlier detection is a data science technique with applications across a variety of industries. Here’s how to find outliers in data by using Python, with examples to illustrate the principles.

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Ellen Glover Ellen Glover
Updated on June 30, 2025

What Is Black Box AI?

Artificial intelligence often makes decisions we don’t understand.

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Giorgos Myrianthous Giorgos Myrianthous
Updated on June 24, 2025

What Are Diffusion Models?

Diffusion models are generative AI models based on principles drawn from physics that are useful for image generation. Our expert explains how they work.

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Jye Sawtell-Rickson Jye Sawtell-Rickson
Updated on June 24, 2025

What Is Computer Vision?

Computer vision is a field of artificial intelligence that trains computers to see, interpret and understand the world around them through machine learning techniques. Here’s how it works, why it matters, how it’s used and some challenges to keep in mind.

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Jeff Rumage Jeff Rumage
Updated on June 23, 2025

What Is a Neural Processing Unit (NPU)?

NPUs are the hot new AI chip, boasting enhanced deep learning capabilities while consuming a fraction of the energy — and all without data ever leaving the device.

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Ashar Rizqi Ashar Rizqi
Updated on June 20, 2025

5 Macro Trends Shaping the Next Era of AI Innovation

The next phase of AI tools won’t just emphasize automation, they’ll embed into workflows and focus on changing behavior. Learn more. 

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Eric Kleppen Eric Kleppen
Updated on June 18, 2025

How to Find Variance Using Python

Variance is a measurement of how far values in a data set differ from the mean. Here’s how to calculate variance by hand or in Python.

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Max Reynolds Max Reynolds
Updated on June 18, 2025

Contrastive Learning: A Tutorial

Contrastive learning is a machine learning technique that trains models to distinguish between similar and dissimilar data pairs. It can be used for self-supervised learning and other use cases.

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Sean Benhur Sean Benhur
Updated on June 17, 2025

Guide to Meta Learning

Meta learning helps models learn new, unseen tasks on their own.

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