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Mastering linear algebra with Python for ML

Why it matters: Linear algebra underpins machine learning, enabling efficient data representation, transformation, and optimization for algorithms like regression, PCA, and neural networks. Python ...
IEEE

Machine Learning Methods for Earth Observation and Remote Sensing Using Spaceborne GNSS Reflectometry: Current status, challenges, and future prospects

Abstract: Spaceborne GNSS reflectometry (GNSS-R) missions have been successfully launched in recent years, such as Technology Demonstration Satellite (TDS-1) in 2014, Cyclone Global Navigation ...
Association for Psychological Science

How Should Psychologists Use AI and Big Data? Nine Guides Point the Way

As generative AI and large language models (LLMs) rapidly reshape the research landscape, psychological scientists are seeking guidance on how to responsibly integrate these tools into their work. The ...
IEEE

Machine Learning for Breast Cancer Classification: A Comparative Study of Grid Search-Optimized SVM, Random Forest, and XGBoost

Abstract: The disease of Breast cancer (BC) poses a significant health challenge, as it is the most prevalent invasive cancer and the second most common cause of death among women. BC is a type of ...
GitHub

Global Factor, Stock, and Firm data

This repo contains Python code to generate the global dataset of factor returns, stock returns, and firm characteristics from “Is there a Replication Crisis in Finance?” by Jensen, Kelly, and Pedersen ...