The hottest Predictive Models Substack posts right now

Predictions can change the outcome, leading to performative prediction. This can impact model performance.
Performative prediction is common but often overlooked, affecting tasks like rent prediction and churn modeling.
To deal with performative prediction, consider achieving performative stability, retraining models frequently, and reframing tasks as reinforcement learning.

Asimov Press is publicly sharing ideas for essays they'd like to publish and inviting writers to contribute by emailing them at [email protected].
Topics in biotechnology range from synthetic blood development to artificial wombs and synthetic nitrogen fixation, showcasing the broad spectrum of innovative research being undertaken.
Biotechnology advancements aim to address a variety of issues, such as animal welfare, predictive growth models for microbes, and challenges in protein structure prediction, highlighting the diverse applications and potential impact of biotechnological research.

The younger generations are facing a challenging future with a planet in crisis.
We need calm, systematic thinking to address impending environmental catastrophes.
There is a need for significant changes in economic, political, and industrial systems to avert disaster.

The author analyzed over 3,450 sources to compile 80 relevant links for their subscribers, who now total 5,200.
The SSRN recently published papers on predicting inflation volatility, intraday volatility in financial data, assessing banking stability, and investment advice.
Readers can access the full post archives with a 7-day free trial to Machine Learning & Quant Finance.

K-nearest neighbors with compressed documents can outperform deep learning models for text classification.
Compression and prediction are closely linked - a good theory about the world can be both compressed and predicted well.
Good predictors can also be good compressors; models like language models act as compressors while predicting.

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Don't listen to what people say, watch what they do when studying human affairs.
Economics is about understanding human actions using tools like supply and demand.
The value of economics lies in the predictive power of models based on human actions.

Joseph Tainter's theory highlights the declining marginal returns of investments in social complexity.
Tainter's model suggests that unsustainable costs of complexity can be shed through controlled social simplification and decentralization.
Redirecting resources and innovation to promote social and economic independence from the system could address the struggles caused by overextended capitalism.