> I’d spend 1-2 months completing Fast.ai course V3, and spend another 4-5 months completing personal projects or participating in machine learning competitions... After six months, I’d recommend doing an internship. Then you’ll be ready to take a job in industry or do consulting to self-fund your research.
Where are these internships that will hire you based on your completion of Fast.ai (if done in 1-2 months by a beginner I assume it's only part 1) alone, especially in 2020? How many are going to place in a Kaggle competition with just half a year of experience? More importantly, just how many people are privileged/secure enough to put their all into learning, with no sense of security or peer support?
> I started working with Google because I reproduced an ML paper, wrote a blog post about it, and promoted it. Google’s brand department was looking for case studies of their products, TensorFlow in this case. They made a video about my project. Someone at Google saw the video, though my skill set could be useful, and pinged me on Twitter.
So what really mattered was self-promotion, good timing, and luck.
> Tl;dr, I spent a few years planning and embarking on personal development adventures. They were loosely modeled after the Jungian hero’s journey with the influences of Buddhism and Stoicism.
Why does the author have to present his life like one would in a fucking college essay?
[0] https://medium.com/@andreas_madsen/becoming-an-independent-r...