Think You Know ML? 🤔 6 Beliefs Worth Rethinking
Are you a business leader considering Machine Learning for your next big project? Navigating the hype can be tough, and what you think you know about ML might be holding your strategy back.
Our Senior Machine Learning Engineer, Adam Wawrzyński, has shed light on common misconceptions from an engineer's perspective, helping businesses avoid pitfalls and achieve real value.
🔗 Read Adam's full article to gain deeper insights into the technical perspective of ML projects: softwaremill.com/top-6-bigge…#ArtificialIntelligence#MachineLearning#MLProjects
🧠 These projects helped me practice hands-on and get a feel for real-world ML workflows.
📌 Now shifting gears to Deep Learning — excited for what’s next!
🔗 Check out the projects and code in my ML repo: lnkd.in/g_ui5JXC#MLProjects#DataScience#BuildInPublic
Just built my first End-to-End MLOps project!
The goal?
To detect whether a URL is safe or harmful using Machine Learning
but this isn’t just a Jupyter Notebook model.
It’s a production-ready project, built using a robust stack of 𝐌𝐋𝐎𝐩𝐬 tools:
𝐆𝐢𝐭𝐡𝐮𝐛 github.com/Mayankpratapsingh…
𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐭 for an interactive frontend
𝐅𝐚𝐬𝐭𝐀𝐏𝐈 to handle batch predictions and APIs
𝐀𝐖𝐒 for cloud infrastructure
𝐌𝐨𝐧𝐠𝐨𝐃𝐁 as the database
...and so much more!
Watch the video for full explaination
This was my first full-fledged MLOps project, and there’s so much room for improvement.
I’m already excited to take on my next MLOps project and make it even better!
#ml#mlops#machinelearning#mlprojects
The Spring '24 cohort premiere project presentations are coming up soon! Our interns are gearing up to showcase their collaborative open-source machine learning projects. It's all about learning by doing & preparing for the real-world job experience. #learningbydoing#MLprojects
Yesterday, I started making & training Bone Fracture Detection Model.
At last, got 87% of accuracy.
I think its a good start but needs to improve as this is medical field.
#MachineLearning#mlprojects