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Topics in Inference for Big Data - Blog | fields2015bigdata2inference.weebly.com Reviews
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Materials - Topics in Inference for Big Data
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January 09, 2015. Introduction, Overview, and Some Basics. January 16, 2015. Optimization and Machine Learning. January 23, 2015. January 30, 2015. February 06, 2015. February 13, 2015. February 25, 2015. Slides (GL; NR-a. Guest Lecture - Bowei Xi. Just Discovered - RStudio Cheatsheets. March 6, 2015. March 13, 2015. March 20, 2015. Privacy and Big Data. March 27, 2015. Nancy Reid; MZ. Mu Zhu; GL. Create a free website.
Blog Archives - Topics in Inference for Big Data
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Revised slides for January 23, 2015. For students who didn't appreciate the subtlety here, my old notations could give the impression that w {ik} was a function of Theta. But that's not the case. In the M-step, w {ik} takes on a particular value [computed by the E-step]; if w {ik} were a function of Theta, the maximization problem in the M-step would become a lot more complicated [and almost destroy the very purpose of the EM]. New page entitled Materials added to web site. MZ's slides January 9. Also ar...
First class on January 9, 2015 - Topics in Inference for Big Data
http://fields2015bigdata2inference.weebly.com/blog/first-class-on-january-9-2015
First class on January 9, 2015. Will present for the first hour, and Mu. Will continue after a short break. Will give an overview of the topics to be covered during the thematic program, along with some background on how and why these topics were chosen, describe other topics that are important, but not covered, and give a summary of various musings on "Big Data" that she has been collecting since starting on this adventure. Professor, Department of Statistics and Actuarial Science, University of Waterloo.
Schedule updated - Topics in Inference for Big Data
http://fields2015bigdata2inference.weebly.com/blog/schedule-updated
The schedule that was published on January 9 has been updated for our second half. University Professor and Canada Research Chair, Department of Statistical Sciences, University of Toronto. Professor, Department of Statistics and Actuarial Science, University of Waterloo. Create a free website.
New page entitled "Materials" added to web site - Topics in Inference for Big Data
http://fields2015bigdata2inference.weebly.com/blog/new-page-entitled-materials-added-to-web-site
New page entitled Materials added to web site. We have added a new page called "Materials" (see menu bar above), where links to lectures, slides, and various other materials (if any) will be posted as the course progresses. University Professor and Canada Research Chair, Department of Statistical Sciences, University of Toronto. Professor, Department of Statistics and Actuarial Science, University of Waterloo. Create a free website.
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Fields Institute - Statistical Inference, Learning, and Models for Big Data
http://www.fields.utoronto.ca/programs/scientific/14-15/bigdata
Thematic and Focus Programs. Commercial and Industrial Programs. Centre for Mathematical Medicine. Honours, Prizes and Fellowships. SCIENTIFIC PROGRAMS AND ACTIVITIES. August 23, 2016. THE FIELDS INSTITUTE FOR RESEARCH IN MATHEMATICAL SCIENCES. Thematic Program on Statistical Inference, Learning, and Models for Big Data. January to June, 2015. Yoshua Bengio (Montréal). Sallie Keller (Virginia Tech). Richard Lockhart (Simon Fraser). Nicolai Meinshausen (ETH Zurich). Bin Yu (UC Berkeley). March 23-27, 2015.
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THE FIELDS
Monday, February 7, 2011. It's a new year with new expectations and a brand new start for our family. We got to visit our family and friends in st. george. This past weekend for an allstar. Game d had an opportunity to be apart of. By the end of this month we will be. Back in st. george perminantly. Were super excited to be back with close friends and great people especially our. Bruno aka robin thicke. Thursday, October 22, 2009. Here's a rare moment. In the same pic. In st gizzle. I LOVE IT! Saturday, ...
Fields0fAnfield's blog - Micha's show. - Skyrock.com
Take what you get and get what you give. 02/08/2009 at 1:32 PM. 28/11/2009 at 3:55 AM. THE END † ou pas. Qui m'aime me suive . Subscribe to my blog! THE END † ou pas. Qui m'aime me suive. Http:/ boysbazaar.skyrock.com/. Même si je continue encore un peu celui-ci, du moins, j'éspère ne pas l'arrêter du jour ou lendemain . =). The blog's author only accepts comments from Skyrock members. You haven't logged in. Clique ici pour poster un commentaire en étant identifié avec ton compte Skyrock. Post to my blog.
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Wednesday, 12 August 2015. 这是和Yi ming 和 hui jing 在 putrajaya 碰面的晚上. 朋友。青春。kajang de satay. Thursday, 16 April 2015. 重新听到有一段时间一直陪伴我的歌，会感受到那时的一点一点流逝的时间，渐渐变淡的体会；也许可以说那是流逝的青春。还有多少青春可以流失。 8220;It's the Right Time"-三浦大知. 8220; 今を生きて” Asian Kung-Fu Generation. ありがとう” - 大桥卓弥. Friday, 21 November 2014. 或许，其实每个人都在寻找自己的分身，而正因为找不到，所以每个人都是孤独的。’ - 东野圭吾《分身》. 毕业至今几个月了，其中去当了三个月的临教。有很多的体会。例如什么呢。抱歉，很多已经忘了。但是总算体会老师拼命讲解却没什么学生在听的感受，会气愤和无奈。也知道了小孩的天真。 Saturday, 22 February 2014. Wednesday, 4 December 2013. Monday, 29 July 2013.
Fields1art's Blog | Just another WordPress.com site
Just another WordPress.com site. Mobile Technology (Review of the Literature). September 6, 2014. The purpose of this paper. 3,244 more words. Using smartphones to access D2L discussion updates and more…. July 26, 2012. Mobile Technology (Review of the Literature). June 16, 2012. In the article What is the mobile web? 1) No, this is awful idea; Griffin (the WSU OPAC) is already hard to use, let alone on a small phone or PDA. 2) I probably wouldn’t use because web time on a phone cost money. 3) It doesn’t...
fields2015bigdata2inference.weebly.com
Topics in Inference for Big Data - Blog
Link to course survey. Please tell us about your experiences @ https:/ www.surveymonkey.com/r/YDGVSWL. Nancy blogs about short critical essay requirement. Like Mu, I'd like to learn something new, to learn that you learned something new, and to read something that hangs together and looks nice! Feel free to submit a preliminary version for comments. Mu blogs about the short critical essay requirement. For me, I think the best way to put it is that I expect to learn something useful from each essay. There...
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