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
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.
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.
"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.
really nice man! yesterday I was wondering how to create an autograde for some simple thing I want to do. and as a coincidence i'm just starting to learn Django so I'll try to use it in my project. Thanks a lot!
I was a founder of a 'one man' small company, until the pandemics hit. Now I'm looking for an entry level position in Data Science. I already have a degree in Materials Engineering, currently enrolled in a Data Science - BTech undergraduate course, studying Machine Learning/NLP/AI.
Location: São Paulo/Brazil
Remote: Yes
Willing to relocate: Yes
Technologies: Python, SQL, JavaScript, HTML, CSS, Machine Learning, Music Composition Softwares (DAW), Raspberry Pi, etc.