Browsing: Data Science
How to turn PDFs into actionable insightsImage by the authorWe live in a world with extremely messy data, this much almost any data scientist or analyst…
If it works, keep it simpleOutliers. Image by authorAs we all know, a big part of a data scientist’s job is to clean and preprocess data.…
The P&F data science team faces a challenge: They must weigh each expert opinion equally, but can’t satisfy everyone. Instead of focusing on expert subjective opinions,…
Real-world data can be tricky! Guide to choosing and applying the Right Statistical Test (using Python)15 min read·Dec 29, 2023A/B tests are powerful tools, but choosing…
Initially, when ChatGPT just appeared, we used simple prompts to get answers to our questions. Then, we encountered issues with hallucinations and began using RAG (Retrieval…
Integrating Responsible AI practices into LLMOps15 min read·19 hours agoAbstract. While we see growing adoption of both LLMOps & Responsible AI practices in Gen AI implementations,…
Discover why Welch’s t-Test is the go-to method for accurate statistical comparison, even when variances differ.Photo by Simon Maage on UnsplashPart 1: BackgroundIn the first semester…
Easily streamline your modelling process with the GitHub Actions.11 min read·21 hours agoPhoto by Praveen Thirumurugan on UnsplashMachine Learning models could create immense value for the…
Can AI provide a lens on human intelligence?Continue reading on Towards Data Science » Source link
New prompt engineering tool for complex reasoning, compared with Chain of thought (CoT) and Tree of Thought (ToT)Continue reading on Towards Data Science » Source link