A researcher reflects on 2024 highlights in AI, covering societal impacts, software tools like Scikit-learn, and technical research on tabular data and language models.
Introduces CARTE, a foundation model for tabular data, explaining its architecture, pretraining on knowledge graphs, and results.
Announcing skrub 0.2.0, a library update simplifying machine learning on complex dataframes with new features like tabular_learner.
Scikit-learn remains a dominant and impactful machine learning library, especially for classic ML and tabular data, despite the hype around deep learning.
A curated list and summary of recent research papers exploring deep learning methods specifically designed for tabular data.
A developer episode on styling a Django template's tabular view using Tailwind CSS, including column highlighting and data structure explanation.
