How I Used ChatGPT to Land My Next Data Science Role
In the past, I wrote about how recent AI developments are changing data science interview loops from a hiring manager’s ...
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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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How to Build a Powerful Deep Research System
is a popular feature you can activate in apps such as ChatGPT and Google Gemini. It allows users to ask ...
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Real-Time Intelligence in Microsoft Fabric: The Ultimate Guide
, handling streaming data was considered an avant-garde approach. Since the introduction of relational database management systems in the 1970s and traditional ...
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MobileNetV2 Paper Walkthrough: The Smarter Tiny Giant
Introduction was a breakthrough in the field of computer vision as it proved that deep learning models do not necessarily ...
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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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Prediction vs. Search Models: What Data Scientists Are Missing
As data scientists, we’ve become extremely focused on building algorithms, causal/predictive models, and recommendation systems (and now genAI). We optimize ...
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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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