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This is an extension to the (ML for) Natural Language Processing course I teach at the Yandex School of Data Analysis (YSDA) since fall 2018.
natural-language-processing course article
Practical Data Ethics
Course covering disinformation, bias, ethical foundations, privacy & surveillance, silicon valley ecosystem, and algorithmic colonialism.
bias fairness surveillance ethics
CMU LTI Low Resource NLP Bootcamp 2020
A low-resource natural language and speech processing bootcamp held by the Carnegie Mellon University Language Technologies Institute in May 2020.
natural-language-processing low-resource course video
A look at different types of human biases that can manifest in training data and how to identify and evaluate their effects.
fairness bias course notebook
Python Decorators 101
In this course on Python decorators, you’ll learn what they are and how to create and use them.
python decorators course tutorial
Self-Supervised Learning -- UC Berkeley Spring 2020
Lecture on self-supervised learning from CS294-158-SP20: Deep Unsupervised Learning.
self-supervised-learning video berkeley unsupervised-learning
CS229: Machine Learning
A broad introduction to machine learning and statistical pattern recognition.
course machine-learning stanford cs229
CS294-158-SP19 Deep Unsupervised Learning
This course will cover two areas of deep learning in which labeled data is not required: Deep Generative Models and Self-supervised Learning.
unsupervised-learning generative-models self-supervised-learning course
CS285: Deep Reinforcement Learning
A course on deep reinforcement learning, transfer and multi-task learning.
reinforcement-learning multi-task-learning course tutorial
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