Data Visualization Explained (Part 3): The Role of Color

Data Visualization Explained (Part 3): The Role of Color
[ad_1] This is the third article in my data visualization series. See Part 1: “Data Visualization Explained: What It Is ...
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How I Used ChatGPT to Land My Next Data Science Role

How I Used ChatGPT to Land My Next Data Science Role
[ad_1] In the past, I wrote about how recent AI developments are changing data science interview loops from a hiring ...
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Classical Computer Vision and Perspective Transformation for Sudoku Extraction

Classical Computer Vision and Perspective Transformation for Sudoku Extraction
[ad_1] of AI hype, it feels like everyone is using Vision-Language Models and large Vision Transformers for every problem in ...
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Prediction vs. Search Models: What Data Scientists Are Missing

Prediction vs. Search Models: What Data Scientists Are Missing
[ad_1] As data scientists, we’ve become extremely focused on building algorithms, causal/predictive models, and recommendation systems (and now genAI). We ...
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Temporal-Difference Learning and the Importance of Exploration: An Illustrated Guide

Temporal-Difference Learning and the Importance of Exploration: An Illustrated Guide
[ad_1] Indeed, RL provides useful solutions to a variety of sequential decision-making problems. Temporal-Difference Learning (TD learning) methods are a popular subset ...
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Eulerian Melodies: Graph Algorithms for Music Composition

Eulerian Melodies: Graph Algorithms for Music Composition
[ad_1] composers are known to reuse motifs (i.e., characteristic note progressions or melodic fragments) across their works. For example, famous ...
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Building Fact-Checking Systems: Catching Repeating False Claims Before They Spread

Building Fact-Checking Systems: Catching Repeating False Claims Before They Spread
[ad_1] : Why We Need Automated Fact-Checking In comparison to the traditional media, where articles are edited and verified before ...
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Building LLM Apps That Can See, Think, and Integrate: Using o3 with Multimodal Input and Structured Output

Building LLM Apps That Can See, Think, and Integrate: Using o3 with Multimodal Input and Structured Output
[ad_1] , the standard “text in, text out” paradigm will only take you so far. Real applications that deliver actual ...
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Deploying a PICO Extractor in Five Steps

Deploying a PICO Extractor in Five Steps
[ad_1] language models has made many Natural Processing (NLP) tasks appear effortless. Tools like ChatGPT sometimes generate strikingly good responses, ...
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Building a Unified Intent Recognition Engine

Building a Unified Intent Recognition Engine
[ad_1] systems, understanding user intent is fundamental especially in the customer service domain where I operate. Yet across enterprise teams, ...
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