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Apply Sphinx’s Functionality to Create Documentation for Your Next Data Science Project

Apply Sphinx’s Functionality to Create Documentation for Your Next Data Science Project

by Dr. Owns | Jun 17, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Three cases to use the Sphinx tool as a pro The post Apply Sphinx’s Functionality to Create Documentation for Your Next Data Science Project appeared first on Towards Data Science. ​Three cases to use the Sphinx tool as a pro The post Apply Sphinx’s Functionality to...
Grad-CAM from Scratch with PyTorch Hooks

Grad-CAM from Scratch with PyTorch Hooks

by Dr. Owns | Jun 16, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

A hands-on look at an explainable AI (XAI) technique that helps reveal why a convolutional neural network (CNN) made a particular decision The post Grad-CAM from Scratch with PyTorch Hooks appeared first on Towards Data Science. ​A hands-on look at an explainable AI...
A Practical Starters’ Guide to Causal Structure Learning with Bayesian Methods in Python

A Practical Starters’ Guide to Causal Structure Learning with Bayesian Methods in Python

by Dr. Owns | Jun 16, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Learn Causal Structures and make inferences with Bayesian Methods: Python Tutorial The post A Practical Starters’ Guide to Causal Structure Learning with Bayesian Methods in Python appeared first on Towards Data Science. ​Learn Causal Structures and make inferences...
Let’s Analyze OpenAI’s Claims About ChatGPT Energy Use

Let’s Analyze OpenAI’s Claims About ChatGPT Energy Use

by Dr. Owns | Jun 16, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

ChatGPT uses an average of 0.34 Wh per query, according to a blog post by Sam Altman. Does that figure hold up? The post Let’s Analyze OpenAI’s Claims About ChatGPT Energy Use appeared first on Towards Data Science. ​ChatGPT uses an average of 0.34 Wh per query,...
Regularisation: A Deep Dive into Theory, Implementation, and Practical Insights

Regularisation: A Deep Dive into Theory, Implementation, and Practical Insights

by Dr. Owns | Jun 16, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

A detailed guide on controlling overfitting and increasing the stability of your models. The post Regularisation: A Deep Dive into Theory, Implementation, and Practical Insights appeared first on Towards Data Science. ​A detailed guide on controlling overfitting and...
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