Past is Prologue: How Conversational Analytics Is Changing Data Work

[ad_1] — We’ve Been Down This Road Many who have come before have bemoaned the analytics dashboard. Dashboards may contain ...
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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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This Puzzle Shows Just How Far LLMs Have Progressed in a Little Over a Year

[ad_1] that the capabilities of LLMs have progressed dramatically in the last few years, but it’s hard to quantify just ...
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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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Real-Time Intelligence in Microsoft Fabric: The Ultimate Guide

[ad_1] , handling streaming data was considered an avant-garde approach. Since the introduction of relational database management systems in the 1970s and ...
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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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The Machine Learning Lessons I’ve Learned This Month

[ad_1] in machine learning are the same. Coding, waiting for results, interpreting them, returning back to coding. Plus, some intermediate ...
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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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TDS Newsletter: To Better Understand AI, Look Under the Hood

[ad_1] Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep ...
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Decoding Nonlinear Signals In Large Observational Datasets

[ad_1] In recent decades, global climate monitoring has made significant strides, leading to the creation of new, extensive observational datasets ...
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