Know Your Real Birthday: Astronomical Computation and Geospatial-Temporal Analytics in Python

are planning next year’s birthday celebrations for three friends: Gabriel, Jacques, and Camille. All three of them were born in ...
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This Puzzle Shows Just How Far LLMs Have Progressed in a Little Over a Year

that the capabilities of LLMs have progressed dramatically in the last few years, but it’s hard to quantify just how ...
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Classical Computer Vision and Perspective Transformation for Sudoku Extraction

of AI hype, it feels like everyone is using Vision-Language Models and large Vision Transformers for every problem in Computer ...
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Build a Data Dashboard Using HTML, CSS, and JavaScript

dashboard for your customers, clients, or fellow workers is becoming an essential part of the skill set required by software ...
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Temporal-Difference Learning and the Importance of Exploration: An Illustrated Guide

Indeed, RL provides useful solutions to a variety of sequential decision-making problems. Temporal-Difference Learning (TD learning) methods are a popular subset of ...
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How to Improve the Efficiency of Your PyTorch Training Loop

models isn’t just about submitting data to the backpropagation algorithm. Often, the key factor determining the success or failure of a ...
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Beyond ROC-AUC and KS: The Gini Coefficient, Explained Simply

discussed about classification metrics like ROC-AUC and Kolmogorov-Smirnov (KS) Statistic in previous blogs. In this blog, we will explore another ...
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Learning Triton One Kernel At a Time: Vector Addition

, a little optimisation goes a long way. Models like GPT4 cost more than $100 millions to train, which makes ...
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Building a Video Game Recommender System with FastAPI, PostgreSQL, and Render: Part 2

Getting Started In part 1 we walked through the process of setting up a board game recommendation system leveraging FastAPI ...
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Python Can Now Call Mojo | Towards Data Science

, ML engineers, and software developers, optimising every bit of performance from our codebases can be a crucial consideration. If ...
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