AI

Anomaly Detection in TensorFlow and Keras Using the Autoencoder Method | by Rashida Nasrin Sucky | Sep, 2023

Photo by Leiada Krozjhen on Unsplash A cutting-edge unsupervised method for noise removal, dimensionality reduction, anomaly detection, and more All

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A Taxonomy of Natural Language Processing | by Tim Schopf | Sep, 2023

This post is based on our RANLP 2023 paper “Exploring the Landscape of Natural Language Processing Research”. You can read

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Now You See Me (CME): Concept-based Model Extraction | by Dmitry Kazhdan | Sep, 2023

Leveraging Semi-Supervised Concept-based Models with CME CME relies on a similar observation highlighted in [3], where it was observed that

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Translating Terms with LLMs (GPT and Vertex AI/Google Bard) | by Shafquat Arefeen | Sep, 2023

Photo by Mojahid Mottakin on Unsplash Can LLMs like ChatGPT accurately make translations better than humans? What options of LLMs

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Why More and More People are Embracing Automated Assistants in Contact Centers

Are your customers tired of waiting too long on hold just to speak to a customer service representative? Looking for

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How to Talk About Data and Analysis to Non-Data People | by Michal Szudejko | Sep, 2023

A step-by-step tutorial for data professionals In my recent articles, I noted that a significant challenge for many companies today

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XGBoost: How Deep Learning Can Replace Gradient Boosting and Decision Trees — Part 2: Training | by Saupin Guillaume | Sep, 2023

Photo by Simon Wilkes on Unsplash In a previous article: you have learned about rewriting decision trees using a Differentiable

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Can ChatGPT solve knapsack problems? | by Guangrui Xie | Sep, 2023

Solving operations research (OR) problems with ChatGPT Photo by Jakob Owens on Unsplash Ever since the emergence of ChatGPT, I’ve

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Bugs in Python? Pdb to the Rescue! | by Marcin Kozak | Sep, 2023

PYTHON PROGRAMMING Is the Pdb debugger worth learning and using? Debugging helps you learn from your failures. Photo by Brett

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