The goal of this group is to help you navigate the complex and rapidly evolving world of data science and artificial intelligence. This is your hub to stay up-to-date on the latest trends, learn specialized skills to turn raw data into valuable insights, connect with a community of like-minded individuals, and ultimately, become a Data Alchemist. Together, let's decode the language of data and shape a future where knowledge and community illuminate our way. Rules - Don't sell anything here or use Data Alchemy as any kind of funnel - We delete low effort community posts, and posts with poor English. Proofread your post first. - Help us make the posts high quality. If you see a low quality post, then click on the 3 dots on the post and "Report To Admins". Start by checking out these links - Classroom - Introduction - Roadmap - Contribution Be Aware of Scammers - Please be aware that this is a public group. Unfortunately, some people abuse the Skool platform to send DMs or post comments to trick people. This is the internet, so always do your own due diligence. Never automatically trust someone here on the Skool platform other than @Dave Ebbelaar's official account. To kick things off, please comment below, introducing yourself. Let us know: 1. Your name and where you're from 2. What project(s) you're currently focused on See you in the comments!

https://openai.com/index/introducing-openai-o1-preview/ We've developed a new series of AI models designed to spend more time thinking before they respond. They can reason through complex tasks and solve harder problems than previous models in science, coding, and math.Today, we are releasing the first of this series in ChatGPT and our API. This is a preview and we expect regular updates and improvements. Alongside this release, we’re also including evaluations for the next update, currently in development.

Hey! 👋 I'm new here. I already started progressing in the Codex Module and so far everything has gone smoothly. I'm loving the experience ♥️. _____(Context)______ While researching I found that Data Camp offers 3 months free in collaboration with Github Edcuation. Right now I'm at the 3rd year (out of 5) of a double major in math and physics. On my spare time I've been learning about data stuff since I discovered I really like this. I'm now experienced with statistics, linear algebra, multivariable calculus and more (🤓)... But not so much with the technical side of data. (I know a little bit of R, MATLAB and Python, but I wouldn't say I'm advanced in any of those, intermediate at most: knowing how to do hypothesis testing and other stats stuff, implementing simple linear algorithms and so) ______(Question)______ So what I'm asking is: Given that I can only study this on my free time, when should I try Data Camp courses or other things? Right now I'm focused on Data Alchemy, and I'll try to level up quick and get to the nitty gritty of the learning materials.

Question for those of you who already have experience working in companies or academics in a different field: - what field are you coming from? - how much experience do you have in it? - do you have plans to use your previous experience in your data adventure, or on the contrary, you are learning data science to move forward in your main area of expertise?