An Interactive Guide to 4 Fundamental Computer Vision Tasks Using Transformers

An Interactive Guide to 4 Fundamental Computer Vision Tasks Using Transformers
[ad_1] and Vision Model? Computer Vision is a subdomain in artificial intelligence with a wide range of applications focusing on ...
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Analysis of Sales Shift in Retail with Causal Impact: A Case Study at Carrefour

Analysis of Sales Shift in Retail with Causal Impact: A Case Study at Carrefour
[ad_1] Disclosure: I work at Carrefour. The views expressed in this article are my own. The data and examples presented ...
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A Visual Guide to Tuning Gradient Boosted Trees

A Visual Guide to Tuning Gradient Boosted Trees
[ad_1] Introduction My previous posts looked at the bog-standard decision tree and the wonder of a random forest. Now, to ...
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The Rise of Semantic Entity Resolution

The Rise of Semantic Entity Resolution
[ad_1] This post introduces the emerging field of semantic entity resolution for knowledge graphs, which uses language models to automate ...
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Docling: The Document Alchemist | Towards Data Science

Docling: The Document Alchemist | Towards Data Science
[ad_1] Why do we still wrestle with documents in 2025? in any data-driven organisation, and you’ll encounter a host of PDFs, ...
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Is Your Training Data Representative? A Guide to Checking with PSI in Python

Is Your Training Data Representative? A Guide to Checking with PSI in Python
[ad_1] To get the most out of this tutorial, you should have a solid understanding of how to compare two ...
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How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n

How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n
[ad_1] was the UI for complex budget planning, with an AI agent handling the optimisation behind the scenes? If I ...
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LangChain for EDA: Build a CSV Sanity-Check Agent in Python

LangChain for EDA: Build a CSV Sanity-Check Agent in Python
[ad_1] , agents perform actions. That’s exactly what we’re going to try out in today’s article. In this article, we’ll ...
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Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows

Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows
[ad_1] Having developed raw LLM workflows for structured extraction tasks, I have observed several pitfalls in them over time. In ...
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Understanding Matrices | Part 4: Matrix Inverse

Understanding Matrices | Part 4: Matrix Inverse
[ad_1] of this series [1], [2], and [3], we have observed: interpretation of multiplication of a matrix by a vector, ...
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