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Data Science Degree @ Berkeley refers to the UC Berkeley School of Information's online Master of Information and Data Science (MIDS) program. The program is designed for working professionals, features a rigorous holistic curriculum, flexible program paths, and a capstone component, and is nationally recognized by Fortune.
A curated UC Berkeley Law Library guide collecting resources on generative AI applications in law school, higher education, and legal practice. It links news, studies, ethics materials and access-to-justice research, and notes that the resources will be regularly updated.
Caffe is a deep learning framework developed by Berkeley AI Research and community contributors, designed with expression, speed, and modularity in mind. It is released under the BSD 2-Clause license and includes associated reference models.
An NLP toolbox for Matlab under development by researchers at UC Berkeley's AMPLab, intended to process natural language within Matlab rather than switching to other languages. It includes modules for text tokenization, text preprocessing such as stop word removal and stemming, and learning algorithms including linear regression, decision trees, support vector machines and a Naive Bayes classifier.
ScalaNLP is an umbrella project for machine learning and numerical computing libraries, including Breeze and Epic. Breeze covers linear algebra, numerical computing and optimization. Epic is a statistical parser and structured prediction library. The site also lists Puck, a GPU-powered parser built on grammars produced by the Berkeley Parser.
A personal blog by a PhD student at Berkeley that hosts notes and posts on data science, programming and machine learning topics. Entries include 15 principles for data scientists, C++11 learning notes, a Mandelbrot fractal in Python and notes from conference talks.
