This post is the first in a loose series exploring forecasting of spatially-determined data over time. By spatially-determined I mean that whatever the ...
Sigrid Keydana
Today, we use the convLSTM introduced in a previous post to predict El Niño-Southern Oscillation (ENSO). ENSO refers to a changing pattern of sea surface ...
sparklyr.sedona is now available as the sparklyr-based R interface for Apache Sedona. To install sparklyr.sedona from GitHub using the remotes package , ...
Yitao Li
sparklyr.sedona is now available as the sparklyr-based R interface for Apache Sedona. To install sparklyr.sedona from GitHub using the remotes package , ...
This is the first in a series of posts on group-equivariant convolutional neural networks (GCNNs). Today, we keep it short, high-level, and conceptual; ...
Convolutional neural networks (CNNs) are great – they’re able to detect features in an image no matter where. Well, not exactly. They’re not indifferent ...