Hello, We’re looking for a reliable partner (must be based in US, UK, CA, AU, DE, or NZ) to work with our team on a part-time basis. We’re offering a monthly salary of USD 2,000 - 3,000, with flexible working hours and long-term collaboration in mind. No development experience required! Our company, Linkcoders (linkcoders.com) is a software development and outsourcing company that works with international clients across various industries. We focus on building high-quality, scalable software solutions and value clear communication and consistent delivery. This role would involve working closely with our existing team, contributing to ongoing projects, and collaborating remotely. If this sounds interesting to you, I’d be happy to share more details and discuss how we could work together. Looking forward to hearing from you. Best regards, Jamey

Hi everyone! I’m thrilled to join this community. I am currently deep-diving into Applied Mathematics, specifically focusing on the mathematical foundations of AI, like Linear Algebra (matrices, determinants) and Calculus. While I love the theoretical side, my goal here is to bridge the gap between abstract math and practical AI Automation. I want to see how the equations I solve on paper turn into efficient workflows and intelligent systems. I’m looking forward to learning from your experiences and sharing my journey as I apply mathematical logic to real-world data projects. If anyone has tips on the best path from 'math-heavy theory' to 'hands-on AI building,' I’d love to connect! Happy to be here!

Hi everyone! As someone passionate about Applied Mathematics and AI Research, I’ve noticed that while many people use AI models, the underlying mathematics - like Eigenanalysis - often remains a "black box." I recently published a deep dive on Medium titled "Eigenanalysis" to bridge this gap. In the article, I break down: - The core intuition behind Eigenvalues and Eigenvectors. - How this theory powers Principal Component Analysis (PCA). - Real-world applications in Computer Vision (like Eigenfaces). If you’re interested in understanding the "why" behind the algorithms we use every day, check it out here: https://medium.com/@nihatgariblii/eigenanalysis-from-intuition-to-practical-python-6c0daf234957 I’d love to hear your thoughts or answer any questions you have about the math behind AI!

All of the resources for the course are in the classroom Excited to share with you what I worked on over the past few weeks https://www.youtube.com/watch?v=TZ43SRdTMs0

Apologies for this week being a bit different. Thanks for joining for the first time @Laurent Sou @Miles Chu And welcome back @Ken Rodgers @James C Wilson We started talking about openclaw vs Claude cowork and code. Then jumped into some awesome updates from James on the app he has been developing (which will be out in the next 60 days!) He will be presenting it next week so make sure to be here at 5est. Talked slightly about OpenAi Codex use cases and compared it to Claude Code Ken also landed a new full time job!