A course by Andrej Karpathy on building neural networks from scratch in code, starting with backpropagation basics and building up to modern deep neural networks like GPT. Prerequisites are solid Python programming and intro-level math such as derivatives and gaussians.
tweetopic is a Python library for topic modelling of Tweets and other short texts. Its documentation site provides an API reference and a usage guide covering installation, the Dirichlet Multinomial Mixture Model, the Biterm Topic Model, pipelines, visualization and model persistence.
This resource offers a downloadable, printable poster outlining 15 common data fallacies as part of data literacy lessons, with a monthly random giveaway for free mailed copies of the poster.
An open source, MIT-licensed Python library imported as imblearn that relies on scikit-learn. It provides tools for classification with imbalanced classes. The documentation includes installation guides, a user guide, an API reference and a gallery of examples.
Stanford CS336: Language Modeling from Scratch is the official course website for a Stanford class offered in Spring 2026. The course walks students through the process of developing a language model, including data collection and cleaning for pre-training, transformer model construction, model training, and evaluation before deployment. The site provides logistics, schedule, assignments, and course materials.
AI for Industrial Design shares insights from National University of Singapore students who explored AI's capabilities for design in a semester course directed by Donn Koh at the university's Division of Industrial Design.
SAS Viya is a cloud native AI, analytic and data management platform supporting teams across the analytics life cycle. It unifies data, analytics and governance, and supports building, validating and deploying AI with governance, fairness and transparency. Deployment options cover cloud, hybrid and on-premises environments.
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tweetopic is a Python library for topic modelling of Tweets and other short texts. Its documentation site provides an API reference and a usage guide covering installation, the Dirichlet Multinomial Mixture Model, the Biterm Topic Model, pipelines, visualization and model persistence.
This resource offers a downloadable, printable poster outlining 15 common data fallacies as part of data literacy lessons, with a monthly random giveaway for free mailed copies of the poster.
An open source, MIT-licensed Python library imported as imblearn that relies on scikit-learn. It provides tools for classification with imbalanced classes. The documentation includes installation guides, a user guide, an API reference and a gallery of examples.
Stanford CS336: Language Modeling from Scratch is the official course website for a Stanford class offered in Spring 2026. The course walks students through the process of developing a language model, including data collection and cleaning for pre-training, transformer model construction, model training, and evaluation before deployment. The site provides logistics, schedule, assignments, and course materials.
AI for Industrial Design shares insights from National University of Singapore students who explored AI's capabilities for design in a semester course directed by Donn Koh at the university's Division of Industrial Design.
SAS Viya is a cloud native AI, analytic and data management platform supporting teams across the analytics life cycle. It unifies data, analytics and governance, and supports building, validating and deploying AI with governance, fairness and transparency. Deployment options cover cloud, hybrid and on-premises environments.
