True Positive Weekly #35
The most important artificial intelligence and machine learning links of the week
Hey, in this issue: Facebook developed a "neural database"; paper explained: Fastformer; Tutorial on inferring concept drift without labeled data; a comparison between the investment returns of business angels and machine learning algorithms; a tutorial on human pose classification; and more.
The sponsor of this issue is InterviewQs.
Facebook developed a "neural database" that enables machines to search unstructured data (paper 1, paper 2, code)
[Paper explained] Fastformer: Additive Attention Can Be All You Need
[Tutorial] Inferring concept drift without labeled data
[Sponsored] InterviewQs - Get better at data science interviews by solving a few questions per week for free
A comparison between the investment returns of business angels and machine learning algorithms
Hora: an approximate nearest neighbor search algorithm written in Rust with a Python API
[Tutorial] Human pose classification with MoveNet and TensorFlow Lite
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Have a nice weekend! See you next week. — Andriy