Articles by Anna Shi
Can the mitigation of water constraints promote regional entrepreneurial activity? Evidence from China
Abstract Traditional entrepreneurial choice models typically consider only entrepreneurial talent and capital inputs, neglecting natural resource endowments. The debate over whether the scarcity of natural resources affects regional entrepreneurial activity remains inconclusive. In countries facing water scarcity, the absence of critical water resources as a production factor is likely to impact regional entrepreneurial activities.
Agricultural Products’ Bundled Pricing Based on Consumers’ Organic Preferences
1. Introduction Online shopping has become one of the essential shopping modes for many consumers, and it is expected that global e-commerce sales will account for 20.8% of global retail sales in 2023 []. In the agricultural products industry, with the improvement of the agricultural product supply chain and the increase of online retail platforms, the online sales of agricultural products have been rapidly developed.
Shortcut Learning: How and Why Models Cheat
And why it is so hard to for AI to commit Photo by Free To Use Sounds on Unsplash Training machine learning models is far from easy. In fact, the unaware data scientist might trip and fall in as many pitfalls as there are living AWS instances. The list is endless but divides itself nicely into two broad categories: underfitting, your model is bad, and overfitting, your model is still bad, but you think it isn’t.
Learn How Neural Networks Learn
Image by Gerd Altmann from Pixabay. Yesterday, I attempted to clean my perpetually growing inbox. A terrifying task indeed. Normally, answering my emails takes forever because I’d have to think of how to compose them juuuust right. Working from my Gmail browser tab though, I didn’t have to. The perfect answers were simply offered to me. Screenshot from my Gmail. Is it just me, or does seeing these pre-formed answers ready to go throw you off? They’re perfectly appropriate responses, if impersonal.
Deep Clustering with Sparse Data
A rather “shallow” and simple approach to deep clustering of highly dimensional data using Keras and manifold learning in 3 simple steps Photo by Kasturi Roy on Unsplash We usually cluster data in order to find or learn about relationships and structures that exist within it, especially where our data is too complex or too dimensional for simple descriptive statistics.
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