rmelhem

cool and thanks for the clarification. i ask that mainly because of the request limit of openai, which is something that makes many scalable ideas unfeasible

nice one. are you using gpt3 under the hood?

Oh thats dope, will read it! and I'm pretty sure I read your blog once, because of the pianojacq! obs: i'm planning a visit to Amsterdam this year because a conference of recommender systems, so will for sure visit the museum if I'm able to go there. thanks!

yes, I completely understand your point. i'm a huge fan of Erik Satie for example and I'm lucky enough to be able to play 4 of his songs on the piano. I'd love to - at least - hear him playing his own compositions, but ofc it's impossible lol.

was just telling my wife few days ago that my dream was to watch him live one day. it's just sad that it won't be possible anymore.

yep, i suddenly felt in love with music after my dad passed away - was in college studying materials engineering, and made a living out of music for 6 years (until the pandemics)

where I work for, our stack is all about GCP/Airflow/Python/BigQuery ML, for recommender systems. I'm now playing around with Turicreate (Apple) to compare with BQML.

thats really cool. I'd like to help somehow, being a volunteer if needed.

lol

having changed profession completely 3 times in the last 10 years, I need to completely agree with the article

how one could prepare for such interviews? i know google is the place to start, but if you could point some source would really appreciate it!

Lol, yep. I always use my gf for that purpose and vice-versa.

KIC 11145123 is a good example.

"However, for a data science beginner, SQL is the best place to start."

I totally agree with that statement. Being a beginner myself in the DS field, I'm living through this right now in my job. And, as a plus, working with SQL everyday is also helping me a lot to have different perspectives in handling the Python/Pandas DataFrame.