About The Code Compass
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Welcome to The Code Compass — a newsletter dedicated to improving your understanding of machine learning: learning about key concepts and best practices.
What to expect as a reader?
Each post is a deep dive — written with hours of careful and thorough research.
I believe the best way to explain something is to show it. As a reader, expect each post to be complemented with hand-drawn visuals that explain technical topics clearly.
What is this newsletter about?
My goal with this newsletter is to do the following for you:
Machine Learning Deep Dives: Identify the important machine learning concepts. Explain them in a simple, concise, and visual manner. More importantly, give context on where you should apply it in practice.
Real-World Case Studies: Research and dissect the successful integration of machine learning in products from tech giants like Google, Netflix, Facebook, Tesla, and Apple.
Actionable Tech Insights: Dive deep into the realm of tech with insights tailored for engineers, co-founders, and team leads. Learn how to navigate the challenges of scaling companies.
The field of machine learning is moving rapidly. With so much happening, it can be difficult to cut through the noise and focus. Let me help you by picking out the important bits and delivering technically complete, bite-sized insights directly to your inbox.
I dedicate a significant portion of my time to performing background research so you don’t have to.
Got Feedback?
I would love to hear any feedback you have to make The Code Compass better.
Please share all feedback here.
Why am I writing this?
Because I have been in your shoes. As a founding engineer at an ML-first startup, I've worn every hat imaginable (more about that later) —from pitching to investors and shaping company culture to building machine learning solutions into the product. Through The Code Compass, I aim to share learning and experiences gained along this exhilarating journey, helping fellow tech enthusiasts navigate the rapidly evolving world of machine learning and startup space.
Subscribe now and stay ahead of the curve in the dynamic world of machine learning and tech.
