Chapter
Practical Machine Learning and Product Development
The challenge of machine learning in product development is to determine how it fits in with product management, engineering and design. If a discovery product is the goal, then setting the expectation with users that much of what is shown will not be relevant is key.
Clips
The introduction of machine learning has posed challenges in product development, specifically in terms of sourcing a good test set that is representative of the product, according to guest Andrew Eng on the AI Alignment Podcast.
59:15 - 1:03:42 (04:26)
Summary
The introduction of machine learning has posed challenges in product development, specifically in terms of sourcing a good test set that is representative of the product, according to guest Andrew Eng on the AI Alignment Podcast.
ChapterPractical Machine Learning and Product Development
EpisodeGustav Soderstrom: Spotify
PodcastLex Fridman Podcast
The key to managing user expectations in music discovery is to set the expectation that not everything will be relevant, as most of what is shown will be new content.
1:03:42 - 1:05:14 (01:32)
Summary
The key to managing user expectations in music discovery is to set the expectation that not everything will be relevant, as most of what is shown will be new content. By setting this tone, users will be more receptive to discovering one gem among many new songs.
ChapterPractical Machine Learning and Product Development
EpisodeGustav Soderstrom: Spotify
PodcastLex Fridman Podcast
The radio station invested in editorial and statistical data for creating playlists while trying to optimize products to suit different test sets for different users.
1:05:14 - 1:06:48 (01:33)
Summary
The radio station invested in editorial and statistical data for creating playlists while trying to optimize products to suit different test sets for different users.