schraudolph.org
Teaching Materials
http://www.schraudolph.org/teach
Honours and Summer Student Projects. Teach a robotic fish on wheels. Get a computer to learn the game of Go. Develop an interactive graph editor. Feel free to use these, with due acknowledgment, in your teaching. Schedule for the ANU graduate course Overview of Statistical Machine Learning. Held in April-June 2006. Gradient Methods for Machine Learning. PDF slides for a course I taught at the 2005 Machine Learning Summer School. Machine Learning I: Algorithms and Applications. 05/10 - N. Schraudolph.
alex.smola.org
Machine Learning Summer Schools
http://alex.smola.org/mlss.html
Machine Learning Summer Schools. Machine Learning Summer Schools. The wonderful folks at Videolectures. Have videotaped most of the recent events such that people unable to attend the events can benefit from them nonetheless. This is supported by the Pascal Network of Excellence of the European Union. Last modified Wednesday, 18-Sep-2013 00:18:19 UTC.
mlss08.rsise.anu.edu.au
Committee ANU - MLSS 08
http://mlss08.rsise.anu.edu.au/committee
Wiki, Photos, Links. Email: mlss08 - at - rsise.anu.edu.au. MLSS phone at Kioloa / leave a message: 61 (2) 6100 8501. Registration and Accommodation Advice. 61 (2) 6125 8644. 61 (2) 6125 8651. Michelle . Moravec - at - anu.edu.au. RSISE@ANU Bld 115, Canberra, ACT, 0200. 61 (2) 6125 1605. 61 (2) 6125 8651. Marcus . Hutter - at - anu.edu.au. RSISE@ANU Bld 115, Canberra, ACT, 0200. 61 (2) 6125 8652. 61 (2) 6230 7499. Alex Smola - at - nicta.com.au. NICTA, Locked Bag 8001, Canberra, ACT 2601. 61 (2) 6125 6111.
tensorflow.blog
Lecture | 텐서플로우 블로그 (Tensor ≈ Blog)
https://tensorflow.blog/category/lecture
텐서플로우 블로그 (Tensor Blog). 머신러닝(Machine Learning), 딥러닝(Deep Learning) 그리고 텐서플로우(TensorFlow) 또 파이썬(Python). CS224n: NLP with DL’s Lecture Notes. 스탠포드 대학의 CS224n: NLP with Deep Learning. 코스(CS224d가 CS224n으로 통합되었습니다)는 강의 동영상이 공개되지 않습니다. 하지만 강의 슬라이드, 특히 강의 노트가 공개되고 있습니다. 현재 까지 총 7개의 노트가 공개되었으며 모두 합치면 대략 100여쪽이 됩니다. 강의 노트는 CS224n 스케줄 페이지. 에서 다운받을 수 있고 깃허브. 에서도 다운받을 수 있습니다. 스케줄 페이지에서는 강의 노트외에 추천 자료등 풍성한 읽을 거리(! 가 있습니다. 현재까지 강의 노트를 하나로 합친 것은 여기. 에서 다운받을 수 있습니다. 이 글은 Deep Learning. 버클리 대학의 유투브 강좌가 삭제됩니다. 가 만들어졌습니다...
alabidan.wordpress.com
Cardinality Estimation in Linear Time using Sub-Linear Space | Daniel Alabi
https://alabidan.wordpress.com/2013/03/29/cardinality-estimation-in-linear-time-using-sub-linear-space
Learning every day. Walking every day. Introduction to Sentiment Analysis: A Tale of Distinct Classes. Cardinality Estimation in Linear Time using Sub-Linear Space. Posted 389-page data science @ the NYT tutorial from Machine Learning Summer School ( mlss.cc. Https: 1 day ago. The key for an Olympian mindset is asking yourself: Am I doing the best that I can do? Says sports psychologist Stan Beech 2 days ago. Trying to cut down on how much time I spend on the net - for now. 3 days ago. Use a hash table: ...