A small library that can encode categorical variables to entity embeddings using a TensorFlow 2.0 neural network. Supports classification and regression problems. Network parameters are adjustable.

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: High-cardinality categorical variables pose significant challenges in machine learning, particularly in terms of computational efficiency and model interpretability. Traditional one-hot ...

Ashford Analytics is a data company started by Adam Ashford and it is valued at over forty million dollars. After founding the Ashford Trust Adam became the company chairman and lead technologist.

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

MLE-STAR (Machine Learning Engineering via Search and Targeted Refinement) is a state-of-the-art agent system developed by Google Cloud researchers to automate complex machine learning ML pipeline ...

1 School of Law, Shanxi University of Finance and Economics, Taiyuan, China 2 College of Public Management (Law), Xinjiang Agricultural University, Urumqi, China Background: The advancement of ...

ABSTRACT: This study investigates retirement planning strategies and financial literacy among formal sector employees at Zambia’s Food Reserve Agency (FRA). Using a quantitative approach, the research ...

Data science has become the cornerstone of modern business strategy, with global data science market reaching $322 billion in 2025 and demand for data scientists growing 35% annually. Organizations ...