MobileNetV2 Paper Walkthrough: The Smarter Tiny Giant
[ad_1] Introduction was a breakthrough in the field of computer vision as it proved that deep learning models do not ...
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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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How to Improve the Efficiency of Your PyTorch Training Loop
[ad_1] models isn’t just about submitting data to the backpropagation algorithm. Often, the key factor determining the success or failure of ...
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Beyond ROC-AUC and KS: The Gini Coefficient, Explained Simply
[ad_1] discussed about classification metrics like ROC-AUC and Kolmogorov-Smirnov (KS) Statistic in previous blogs. In this blog, we will explore ...
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Learning Triton One Kernel At a Time: Vector Addition
[ad_1] , a little optimisation goes a long way. Models like GPT4 cost more than $100 millions to train, which ...
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Why MissForest Fails in Prediction Tasks: A Key Limitation You Need to Keep in Mind
[ad_1] The of this article is to explain that, in predictive settings, imputations must always be estimated on the training ...
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This AI-Powered Robot Keeps Going Even if You Attack It With a Chainsaw
[ad_1] A four-legged robot that keeps crawling even after all four of its legs have been hacked off with a ...
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The Kolmogorov–Smirnov Statistic, Explained: Measuring Model Power in Credit Risk Modeling
[ad_1] days, people are taking more loans than ever. For anyone who wants to build their own house, home loans ...
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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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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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