Why I Won't Share My Interview Study Notes

Welcome to Gratitude Driven, a weekly newsletter where I share practical ideas and insights across personal growth, professional development, and the world of AI and data science.

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• Why I Won't Share My Interview Study Notes

• ChatGPT Made a Machine Learning Career Plan… Would …

Why I Won't Share My Interview Study Notes

In my recent career transition video, I showed the comprehensive study guides I've built while preparing for interviews over the course of my career. Since then, many people have reached out asking me to share them.

My answer is always "no." And it's not because I'm being stingy or don't want others to succeed.

It’s because the real value isn’t in the notes themselves—it’s in the process of creating them. I've spent close to 300 hours preparing for interviews over the last six-ish years. Those study guides are the result of that prep time, but they're just a byproduct. The actual learning happened through the process of synthesizing information, identifying gaps in my knowledge, and writing things down in my own words.

People also ask what resources I used to create them. Honestly, I can't give you a clean list—they're an amalgamation of dozens of books, tutorials, blogs, and videos accumulated over years. (Though I do have a video covering most of the key courses and books I've used.)

I know that's not the easy answer you might want to hear. But the truth is there's no shortcut to deeply understanding AI/ML. No single resource or set of notes will get you where you want to go. Your success will come from your ability to continuously learn and gradually build knowledge over time.

If I shared my notes, I'd actually be doing a disservice. It would reinforce the false belief that consuming the "right" materials is the path to success, when really it's about actively engaging with the material over the long term.

The takeaway here is to stop looking for the perfect study guide, and start building your own. Pick a topic in AI/ML you're weak on, gather three to four resources, and synthesize them into your own notes. That's where the real learning happens, and that's what will make you stand out in the job market.

ChatGPT Made a Machine Learning Career Plan… Would It Actually Work?

There’s a lot of talk about using AI to help self-study technical topics, and I wanted to put this to the test.

This week’s video is me breaking down a machine learning self-study plan from ChatGPT.

And here’s the blog version.

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