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The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor

The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor
I vibe-coding to create websites and IOS apps. I already have two apps live on the App Store. My first ...
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A Product Data Scientist’s Take on LinkedIn Games After 500 Days of Play

A Product Data Scientist’s Take on LinkedIn Games After 500 Days of Play
I-day streak on LinkedIn Games. Yes, LinkedIn also has games, and they’ve been around for over a year. From time ...
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Do Labels Make AI Blind? Self-Supervision Solves the Age-Old Binding Problem

Do Labels Make AI Blind? Self-Supervision Solves the Age-Old Binding Problem
paper from Konrad Körding’s Lab [1], “Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?” gives insights into a ...
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The Architecture Behind Web Search in AI Chatbots

The Architecture Behind Web Search in AI Chatbots
or Claude to “search the web,” it isn’t just answering from its training data. It’s calling a separate search system. ...
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Overcoming the Hidden Performance Traps of Variable-Shaped Tensors: Efficient Data Sampling in PyTorch

Overcoming the Hidden Performance Traps of Variable-Shaped Tensors: Efficient Data Sampling in PyTorch
is the part of a series of posts on the topic of analyzing and optimizing PyTorch models. Throughout the series, we have ...
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The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel

The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel
the k-NN Regressor and the idea of prediction based on distance, we now look at the k-NN Classifier. The principle ...
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How to Generate QR Codes in Python

How to Generate QR Codes in Python
to QR Codes “QR” in QR code stands for quick response. QR codes are an emerging and easy way to ...
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The Machine Learning Lessons I’ve Learned This Month

The Machine Learning Lessons I’ve Learned This Month
) in machine learning work are the same. Coding, waiting for results, interpreting them, returning back to coding. Plus, some ...
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The Greedy Boruta Algorithm: Faster Feature Selection Without Sacrificing Recall

The Greedy Boruta Algorithm: Faster Feature Selection Without Sacrificing Recall
This article was a collaborative effort. A special thank you to Estevão Prado, whose expertise helped refine both the technical concepts ...
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The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint

The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint
, it is very easy to train any model. And the training process is always done with the seemingly same ...
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