Data Science

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What I’m Updating in My AI Ethics Class for 2025

What I’m Updating in My AI Ethics Class for 2025

What happened in 2024 that is new and significant in the world of AI ethics? The...

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Non-Technical Principles All Data Scientists Should Have

Non-Technical Principles All Data Scientists Should Have

Making you a better data scientist, and enhancing your career.Continue reading o...

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Segmenting Water in Satellite Images Using Paligemma

Segmenting Water in Satellite Images Using Paligemma

Some insights on using Google’s latest Vision Language ModelHutt Lagoon, Austral...

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Superposition: What Makes it Difficult to Explain Neural Network

Superposition: What Makes it Difficult to Explain Neura...

When there are more features than model dimensionsIntroductionIt would be ideal ...

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Introducing n-Step Temporal-Difference Methods

Introducing n-Step Temporal-Difference Methods

Dissecting “Reinforcement Learning” by Richard S. Sutton with custom Python impl...

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Ten predictions for data science and AI in 2025

Ten predictions for data science and AI in 2025

At an AI conference at the close of the year, I was in the speakers’ lounge fini...

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I Combined the Blockchain and AI to Generate Art. Here’s What Happened Next.

I Combined the Blockchain and AI to Generate Art. Here’...

Using LLMs to create artistic representations of dataContinue reading on Towards...

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How to Build a Graph RAG App

How to Build a Graph RAG App

Image by AuthorUsing knowledge graphs and AI to retrieve, filter, and summarize ...

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How to Build a Resume Optimizer with AI

How to Build a Resume Optimizer with AI

Step-by-step guide with example Python codeIn a previous blog post, I shared 5 A...

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How To Start A Data Science Blog on Medium

How To Start A Data Science Blog on Medium

Tips on how to get started, write your first article, and get noticedContinue re...

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Understanding the Optimization Process Pipeline in Linear Programming

Understanding the Optimization Process Pipeline in Line...

The post describes the backend and frontend processes in linear programming incl...

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Unlocking the Untapped Potential of Retrieval-Augmented Generation (RAG) Pipelines

Unlocking the Untapped Potential of Retrieval-Augmented...

Essential Metrics and Methods to Enhance Performance Across Retrieval, Generatio...

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Master Bots Before Starting with AI Agents: Simple Steps to Create a Mastodon Bot with Python

Master Bots Before Starting with AI Agents: Simple Step...

I recently published a post on Mastodon that was shared by six other accounts wi...

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Introduction to the Finite Normal Mixtures in Regression with R

Introduction to the Finite Normal Mixtures in Regressio...

Introduction to the Finite Normal Mixtures in Regression with R. How to make lin...

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Building Trust in LLM Answers: Highlighting Source Texts in PDFs

Building Trust in LLM Answers: Highlighting Source Text...

100% accuracy isn’t everything: helping users navigate the document is the real ...

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Measuring Cross-Product Adoption Using dbt_set_similarity

Measuring Cross-Product Adoption Using dbt_set_similarity

Enhancing cross-product insights within dbt workflowsIntroductionFor multi-produ...

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