[Despoisj]

During the interview for my current job (Machine Learning & Deep Learning Scientist), I didn't get any theoretical questions on machine learning, but only questions on my projects.

I didn't study machine learning per say, I followed dozens of online courses but no diploma in this exact field, and my last job was in traditional software engineering.

Despite this, I managed to do two small projects (one of music genre recognition [1] on my own iTunes library, and one of eye motion recognition [2]). For both I had published the code on my GitHub, and written a small Medium article to expose the problem I was trying to solve, the data available, the issues I faced and how I overcame them.

I personally believe that this is all the recruiter wanted to know, and why I encourage interns and candidates to work on their side projects.

References of the projects: [1] https://github.com/despoisj/DeepAudioClassification [1] https://medium.com/@juliendespois/finding-the-genre-of-a-son... [2] https://github.com/despoisj/DeepEyeControl [2] https://medium.com/hackernoon/talk-to-you-computer-with-you-...

[mraza007]

Agreed. Side projects really help you but don't you think it would be better to leetcode if your aim to land a position at FAANG