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- Understanding and avoiding negative returns on dataContinue reading on Towards Data Science »
- Collecting images to train CNNsUnless otherwise noted, all images are by the author, based on Sentinel-2 data.Have you ever had this idea that a pet project on the application of ML to satellite images might significantly strengthen your data science portfolio? Or have you trained some models based on datasets developed by other people but not […]
- Exposing the promise and perils of ChatGPT’s convincing moral rhetoricImage generated by OpenArt.aiby Eyal Aharoni (website) and Eddy Nahmias (website) Georgia State UniversityAI Chatbots like ChatGPT, LLaMA, Bard, and Claude have taken the world by storm, wowing millions of users with their apparent ability to synthesize information and solve a variety of problems using natural language. […]
- What are recurrent neural networks demonstrated by diagrams and worked examplesContinue reading on Towards Data Science »
- The one billion row challenge is exploding in popularity. How well does Python stack up?Continue reading on Towards Data Science »
- How to reduce a “small” Docker image by another 10%.Continue reading on Towards Data Science »
- Step-by-step guide to creating “Who is the Goodest Doggy” Application with Shiny for Python, from foundation to styling.Continue reading on Towards Data Science »