December 29, 2024

When there are more features than model dimensions Shuyang Xiang · Follow Published in Towards Data Science · 6 min read · 13 hours ago — Introduction It would be ideal if the world of neural network represented a one-to-one relationship: each neuron activates on one and only one feature. In such a world, interpreting the model would be straightforward: this neuron fires for the dog ear feature, and that neuron fires for the wheel

Some insights on using Google’s latest Vision Language Model Dr. Carmen Adriana Martínez Barbosa · Follow Published in Towards Data Science · 9 min read · 15 hours ago — Hutt Lagoon, Australia. Depending on the season, time of day, and cloud coverage, this lake changes from red to pink or purple. Source: Google Maps. Multimodal models are architectures that simultaneously integrate and process different data types, such as text, images, and audio. Some examples

Enhancing cross-product insights within dbt workflows Matthew Senick · Follow Published in Towards Data Science · 5 min read · 14 hours ago — Introduction For multi-product companies, one critical metric is often what is called “cross-product adoption”. (i.e. understanding how users engage with multiple offerings in a given product portfolio) One measure suggested to calculate cross-product or cross-feature usage in the popular book Hacking Growth [1] is the Jaccard Index. Traditionally used to measure