About

👋 Welcome to Backprop!

Software developers and students frequently ask for advice on the following:

• 💼 understanding the AI job market
• 🔬 how to break into an ML career
• ↔️ how to transition into ML from another field
• 📋 ML projects to bolster their resumes/CV
• 🙋‍♂️ ML interview tips
• 🔬 my daily responsibilities as a machine learning engineer
• 🧮 calculus, linear algebra, stats & probability, and ML fundamentals
• 🗺️ an ML study guide and roadmap

My goal with this website is to provide answers to all of this information and more. After all, the website is called Backprop because it pays homage to the backpropagation algorithm (aka backprop) used to train neural networks to learn. Likewise, I hope this website will provide the resources you'll need to learn everything you want about AI/ML, generative AI, neural networks, Transformers, research papers, and more. I'm currently writing a blog post about my journey from a software engineer with zero experience in ML in 2015 to a FAANG machine learning engineer in 2024 (no, I don't have a degree in ML!). In future blog posts, I plan to cover all the material I mentioned above and to experiment with interactive learning modules, which I've been prototyping. Thanks for your support and stay tuned!