Machine Learning for Everyone
By Rob Nowak, Faculty at UW-Madison Rob explains Machine Learning, Neural Networks, Deep Learning, Linear Classifiers, Good Features, Principle Component Analysis, Dictionary Learning, Generalization, Cross Validation in this talk called “Machine Learning for Everyone” Understand basic concepts of ML in 45 minutes: lucid.wisc.edu
Pytorch: Fast & Simple
by Scott Sievert, PhD student at UW-Madison I recently came across PyTorch, a new technology prime for optimization and machine learning. The docs make it look attractive, so immediately I wondered “how does it compare with NumPy?” Turns out it’s a pretty nice framework that’s fast and straightforward to use....
COVID19 Data Science & Behavior Resources
by Tim Rogers, PI of LUCID, Professor at UW-Madison These resources are for non-medical, non-expert data-scientists interested in understanding the COVID-19 pandemic and human behavioral responses. Curated links here: COVID-19 Resources
Learning to draw with neural networks
Generative art in the age of deep learning Modern machine learning algorithms allow us to model the generative process underlying the creation of simple drawings and handwriting as well as perform visual transformation of pixel images to create abstract art. Here’s a quick whirlwind tour of some deep generative...
Naming Contest
Website Naming Contest Do you have a great idea? Please help us name this website! If you have a suggestion for what to call the currently known as “NRT Online Library for Data Science and Human Behavior” please share it with us by emailing nrtlibrary@gmail.com or just click on the...
Introduction to Linear Algebra for Applied Machine Learning with Python
By Pablo Cáceres, PhD student at UW-Madison I recently completed an article and tutorial about essential linear algebra concepts and methods for applied machine learning with Python. My article is meant as a reference rather than a comprehensive course, as it does not...
Welcome
Welcome! We are so excited to launch this new website that is intended to help scientists studying human behavior to understand and apply new methods, concepts, and techniques from machine-learning, AI, and other computational fields. Many online data-science resources target workers in industry, programmers, and other communities with extensive technical...
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