jnlpのブックマーク - はてなブックマーク

artificial intelligence | natural language processing / Stanford School of Engineering - Stanford Engineering Everywhere

1 hr 13 min* Topics: Logistics, Goals Of The Field Of NLP, Is The Probl em Just Cycles?, Why NLP Is Difficult? The Hidden Structure Of Language, Why NLP Is Difficult: Newspaper Headlines, Machine Translation, Machine Translation History, Centauri/Arcturan Example Transcript: HTML | PDF 1 hr 14 min* Topics: Questions That Linguistics Should Answer, Machine Translation (MT), Probabilistic Language

jnlp 2011/06/15

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Stanford School of Engineering - Stanford Engineering Everywhere

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs; VC theory; large margins); r