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虔心求学 | Perry的个人博客 | perryzhao.wordpress.com Reviews
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Perry的个人博客
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一月 | 2016 | 虔心求学
https://perryzhao.wordpress.com/2016/01
Machine Learning Books Suggested by Michael I. Jordan from Berkeley. Honglang Wang's Blog. There has been a Machine Learning (ML) reading list of books in hacker news. For a while, where Professor Michael I. Jordan recommend some books to start on ML for people who are going to devote many decades of their lives to the field, and who want to get to the research frontier fairly quickly. Recently he articulated the relationship between CS and Stats amazingly well in his recent reddit AMA.
三月 | 2016 | 虔心求学
https://perryzhao.wordpress.com/2016/03
The Top 10 Algorithms in Applied Mathematics. The Top 10 Algorithms in Applied Mathematics. 来源 The Top 10 Algorithms in Applied Mathematics. Misleading modelling: overfitting, cross-validation, and the bias-variance trade-off. In this post you will get to grips with what is perhaps the most essential concept in machine learning: the bias-variance trade-off. We discuss and demonstrate these concepts using the k-nearest neighbors algorithm. 2,590 more words. Sunday Bayes: A brief history of Bayesian stats.
Guest Post: ROB TIBSHIRANI | 虔心求学
https://perryzhao.wordpress.com/2016/04/01/guest-post-rob-tibshirani
Guest Post: ROB TIBSHIRANI. Guest Post: ROB TIBSHIRANI. GUEST POST: ROB TIBSHIRANI. Today we have a guest post by my good friend Rob Tibshirani. Rob has a list of nine great statistics papers. (He is too modest to include his own papers.) Have a look and let us know what papers you would add to the list. And what machine learning papers would you add? 9 Great Statistics papers published after 1970. Regression models and life tables (with discussion). 点击以在 Twitter 上共享 在新窗口中打开. 在 Facebook 上共享 在新窗口中打开.
Singular Value Decomposition Part 1: Perspectives on Linear Algebra | 虔心求学
https://perryzhao.wordpress.com/2016/04/19/singular-value-decomposition-part-1-perspectives-on-linear-algebra
Singular Value Decomposition Part 1: Perspectives on Linear Algebra. Singular Value Decomposition Part 1: Perspectives on Linear Algebra. 2,673 more words. 点击以在 Twitter 上共享 在新窗口中打开. 在 Facebook 上共享 在新窗口中打开. 点击以在 Google 上共享 在新窗口中打开. Guest Post: ROB TIBSHIRANI. Dynamic Time Warping averaging of time series allows faster and more accurate classification →. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out.
Perry.Zhao | 虔心求学
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Articles posted by Perry.Zhao. KDD Cup 2015: The story of how I built hundreds of predictive models….And got so close, yet so far away from 1st place! Data Until I Die! The challenge from the KDD Cup this year was to use their data relating to student enrollment in online MOOCs to predict who would drop out vs who would stay. And at the time of this writing landed me in 120th place. My score is 2.6% away from 1st place, but there are 119 people above me! Here are the main characters of this story:. ML4MD...
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Machine Learning with Missing Labels Part 3: Experiments | Machine Learning
https://charlesmartin14.wordpress.com/2014/11/01/machine-learning-with-missing-labels-part-3-experiments
Notes, thoughts, and practice of applied machine learning. Machine Learning with Missing Labels Part 3: Experiments. Machine Learning with Missing Labels Part 3: Experiments. November 1, 2014. January 4, 2016. Charles H Martin, PhD. In this series of posts we look at Transductive and SemiSupervised Learning–an old problem, a hard problem, and a fundamental problem Machine Learning. Unlike Deep Learning or large scale ML,. We want to learn as much as we can from as labeled little data as possible. Have re...
Machine Learning with Missing Labels Part 2: The UniverSVM | Machine Learning
https://charlesmartin14.wordpress.com/2014/09/30/machine-learning-with-missing-labels-part-2-advanced-svms
Notes, thoughts, and practice of applied machine learning. Machine Learning with Missing Labels Part 2: The UniverSVM. Machine Learning with Missing Labels Part 2: The UniverSVM. September 30, 2014. December 1, 2014. Charles H Martin, PhD. Ever wonder what Google DeepMind. They just released a paper on Semi-Supervised learning with Deep Generative Models. What is Semi Supervised Learning (SSL)? In this series of posts, we go back to basics and take a look. 8211;ala Vapnik 2006. Plus, there is code! In th...
Machine Learning with Missing Labels: Transductive SVMs | Machine Learning
https://charlesmartin14.wordpress.com/2014/09/23/machine-learning-with-missing-labels-transductive-svms
Notes, thoughts, and practice of applied machine learning. Machine Learning with Missing Labels: Transductive SVMs. Machine Learning with Missing Labels: Transductive SVMs. September 23, 2014. February 20, 2015. Charles H Martin, PhD. SVMs are great for building text classifiers–if you have a set of very high quality, labeled documents. Frequently, we just don’t have enough labelled data! What can we do? Pay mechanical Turks to label the documents. This is actually harder than it sounds. Since the initia...
Kernels Part 1: What is an RBF Kernel? Really? | Machine Learning
https://charlesmartin14.wordpress.com/2012/02/06/kernels_part_1
Notes, thoughts, and practice of applied machine learning. Kernels Part 1: What is an RBF Kernel? Kernels Part 1: What is an RBF Kernel? February 6, 2012. April 12, 2015. Charles H Martin, PhD. My first blog on machine learning is to discuss a pet peeve I have about working in the industry, namely why not to apply an RBF kernel to text classification tasks. I wrote this as a follow up to a Quora Answer on the subject:. Smola, Scholkopf, and Muller. I expand on one point–. Documents / training instances (.
Noisy Time Series II: Earth Quakes, Black Holes, and Machine Learning | Machine Learning
https://charlesmartin14.wordpress.com/2012/11/07/noisy-time-series-ii
Notes, thoughts, and practice of applied machine learning. Noisy Time Series II: Earth Quakes, Black Holes, and Machine Learning. Noisy Time Series II: Earth Quakes, Black Holes, and Machine Learning. November 7, 2012. October 3, 2013. Charles H Martin, PhD. Recently , 7 Italian Scientists have been sentenced in prison for manslaughter for failing to predict an Earthquake in 2009. So how in the world would a Machine Learning Scientist predict an Earthquake? Eh…not so much! Scale Invariance in Nature:.
Advances in Convex NMF: Linear Programming | Machine Learning
https://charlesmartin14.wordpress.com/2013/05/06/advances-in-convex-nmf-part-1-linear-programming
Notes, thoughts, and practice of applied machine learning. Advances in Convex NMF: Linear Programming. Advances in Convex NMF: Linear Programming. May 6, 2013. March 24, 2014. Charles H Martin, PhD. Today I am going to look at a very important advance in one of my favorite Machine Learning algorithms, NMF (Non-Negative Matrix Factorization). Several approaches exist to improve traditional NMF [1], such as sparse NMF. Jordan et. al. [5]. In fact, it has been known for some time that CNMF could be re-formu...
Spectral Clustering: A quick overview | Machine Learning
https://charlesmartin14.wordpress.com/2012/10/09/spectral-clustering
Notes, thoughts, and practice of applied machine learning. Spectral Clustering: A quick overview. Spectral Clustering: A quick overview. October 9, 2012. March 10, 2015. Charles H Martin, PhD. Here, I give a brief tutorial on the theory of Spectral Clustering and how it is implemented in open source packaages. At some point I will rewrite some of this and add a review of this recent paper Robust and Scalable Graph-Based Semisupervised Learning. Spectral (or Subspace) Clustering. Project your data into.
Metric Learning: Some Quantum Statistical Mechanics | Machine Learning
https://charlesmartin14.wordpress.com/2013/11/14/metric-learning-some-quantum-statistical-mechanics
Notes, thoughts, and practice of applied machine learning. Metric Learning: Some Quantum Statistical Mechanics. Metric Learning: Some Quantum Statistical Mechanics. November 14, 2013. July 7, 2014. Charles H Martin, PhD. I wrote this for my buddy Sebass; just a quick review of quantum stat mech:. In our last post, we presented a formalism for music recommendations called Logistic Markov Embedding (LME). We will follow the classic text by T. Hill. Probabilities and the Partition Functions. Frequently we s...
Convex Relaxations of Transductive Learning | Machine Learning
https://charlesmartin14.wordpress.com/2015/03/14/convex-relaxations-of-transductive-learning
Notes, thoughts, and practice of applied machine learning. Convex Relaxations of Transductive Learning. Convex Relaxations of Transductive Learning. March 14, 2015. July 31, 2016. Charles H Martin, PhD. Why are SVMs interesting? It is just a better way to do Logistic Regression? Is it the Kernel Trick? And does this even matter now that Deep Learning is everywhere? Historically, convex optimization was seen as the path to central planing an entire economy. A great new book, Red Plenty. Today there are Tr...
Backpropagation for dummies | Sachin Joglekar's blog
https://codesachin.wordpress.com/2015/12/06/backpropagation-for-dummies
Sachin Joglekar's blog. Is a method of training an Artificial Neural Network. If you are reading this post, you already have an idea of what an ANN is. However, lets take a look at the fundamental component of an ANN- the. The figure shows the working of the. Th neuron (lets call it. In an ANN. Its output (also called its. Provides one of the inputs to. Produce its own activation? Has stored in itself, a weightage assigned to each of its inputs. Lets say that the weightage assigned. As the first step,.
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Perry Zamek – Translator | Not just another translator
Perry Zamek – Translator. Not just another translator. Skip to primary content. Skip to secondary content. Perry Zamek – Translator. Quality Translations from Hebrew to English. Member, Israel Translators Association. Recognized Translator (Hebrew English), NAATI. National Accreditation Authority for Translators and Interpreters, Ltd.), Australia, since 1987. Recognized Translator (Hebrew English), Israel Translators Association. No need to have the translation notarized! Perry Zamek – Translator.
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My Daughter’s Boyfriend is Responsible for my Daughter’s Wreck. My daughter was unable to make it to work because her car was totaled. She was unable to go to the grocery store or anywhere else because the car was gone. She lost her job and her freedom. This has affected her ability to support herself as well as her ability to drive. Because of the car wreck, she is scared to drive and this keeps her home. How My Husband’s Car Accident Has Affected Him. Welcome to BCZ.com.
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虔心求学 | Perry的个人博客
KDD Cup 2015: The story of how I built hundreds of predictive models….And got so close, yet so far away from 1st place! Data Until I Die! The challenge from the KDD Cup this year was to use their data relating to student enrollment in online MOOCs to predict who would drop out vs who would stay. The short story is that using H2O and a lot of my free time, I trained several hundred GBM models looking for the final one which eventually got me an AUC score of 0.88127 on the KDD Cup leaderboard. ML4MD worksh...
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Perry A. Zirkel – University Professor Emeritus of Education and Law at Lehigh University
Perry A. Zirkel. University Professor Emeritus of Education and Law at Lehigh University. I have 35 years experience as an impartial specialist in education law, with a sub-specialty in special education law. My speaking engagements have spanned every state except Hawaii, and I have hosted annual conferences at Lehigh University since 1977. April 2018 Legal Update. Registration is now open for the Lehigh Special Education Law Symposium. June 24-29) and Section 504 Coordinators Institute.
Blog de perryzolie - Blog de perryzolie - Skyrock.com
Mot de passe :. J'ai oublié mon mot de passe. Mise à jour :. Abonne-toi à mon blog! Ma grosse d'amour 3. N'oublie pas que les propos injurieux, racistes, etc. sont interdits par les conditions générales d'utilisation de Skyrock et que tu peux être identifié par ton adresse internet (23.21.86.101) si quelqu'un porte plainte. Ou poster avec :. Retape dans le champ ci-dessous la suite de chiffres et de lettres qui apparaissent dans le cadre ci-contre. Posté le samedi 16 juin 2012 16:58. Ou poster avec :.
Perryzone
Where to Get Help. Useful Tips and Advice. Making Friends at High School. Welcome to the new Perryzone website! Perryzone was inspired by pupils who worked with a website designer and consultant and combines many of their inputs and ideas. These pupils have now grown up and we are looking to recruit a whole new team of website designers who will move this site forward in co-ordination with our main school website at http:/ www.perryfieldshigh.sandwell.sch.uk. New school diner with PerrysDiner!
Perry's Tots | Life happens to everyone…everyone!
Life happens to everyone…everyone! Follow me on Twitter. Recently on Perry’s Tots. TRIBUTE TO MY ANGEL. I Promised… 8. I Promised… 7. I Promised… 6. Other People’s Tots. Deola johnson on TRIBUTE TO MY ANGEL. Gbog on Life Happens…. Gbog on Life Happens…. On Life Happens…. On Life Happens…. Top Posts and Pages. TRIBUTE TO MY ANGEL. Get Perry's Tots in Mail! Enter your email address to follow this amazing blog and receive notifications of new Tots by email. Join 1,218 other followers. Med student and writer.
