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I'd contend that you won't be starting with a folder of music files from iTunes, but rather you'll have the benefit of the big data that others have gone to the

I'd contend that you won't be starting with a folder of music files from iTunes, but rather you'll have the benefit of the big data that others have gone to the trouble of collating in the form of 1M users' listening histories. From your initial like/dislike profile combined with the listening trends of 1M others, you can discover more implicit information than you can from just your initial like/dislike profile. The purpose of ML is that you can tell a machine to go through more data than any human can. By expanding the corpus of songs from songs you've heard of to all songs in the big dataset, you will be able to find songs you haven't heard based on others who liked the songs you liked and disliked the songs you disliked. edit: Maybe I misunderstood the problem you're working on. I thought you wanted to get recommendations of songs to listen to, but now I see that you have a lot of songs you like already, so you just want a song recommended from that list based on some factors like mood, time of day, etc.

gravypod 10y ago
The point of the project is to be simple and to collect all the data that I'm going to use to analize from my like and dislike. I want to do this as simply as possible so I can just get my feet wet. This project also has constraints. It needs to fit in a Raspberry Pi Zero and on a microsd card with no internet connection running off the power from a USB power supply in a car. It needs to be fast-ish (I can run all of this math at the same time I'm playing the ~3 minute song) and it needs to be small. If I've got 10-20GB of music then songs+os+my data<=32GB. These days I think you can get a Rasbian install ~1-2GB so that leaves us with ~10GB of data if I don't expand my music collection ever because after I get it set up I can't be asked to update it ever again. So yes for this I just want to start with my music folder. A folder of audio files. No lyrics, no nothing. Just things that can be infered from my like and dislike.

gravypod 10y ago

The point of the project is to be simple and to collect all the data that I'm going to use to analize from my like and dislike. I want to do this as simply as possible so I can just get my feet wet. This project also has constraints. It needs to fit in a Raspberry Pi Zero and on a microsd card with no internet connection running off the power from a USB power supply in a car. It needs to be fast-ish (I can run all of this math at the same time I'm playing the ~3 minute song) and it needs to be small. If I've got 10-20GB of music then songs+os+my data<=32GB. These days I think you can get a Rasbian install ~1-2GB so that leaves us with ~10GB of data if I don't expand my music collection ever because after I get it set up I can't be asked to update it ever again. So yes for this I just want to start with my music folder. A folder of audio files. No lyrics, no nothing. Just things that can be infered from my like and dislike.