This is from a post Connected objects and a reconstruction theorem: A common theme in mathematics is to replace the study of an object with the study of some category that can be built from that object. For example, we can replace the study of a group with the study of its category of linear representations, […]
The evidence in large medical data sets is direct, but indirect as well – and there is just too much of the indirect evidence to ignore. If you want to prove that your drug of choice is good or bad your evidence is not just how it does, it is also how all the other drugs […]
Machine Learning, Big Data, Deep Learning, Data Mining, Statistics, Decision & Risk Analysis, Probability, Fuzzy Logic FAQ A Funny Thing Happened on the Way to Academia . . . Advice for students on the academic job market (2013 edition) Perspective: “Why C++ Is Not ‘Back’” Is Fourier analysis a special case of representation theory or […]
These days I have been working with computation and programming languages. I want to share something with you here. You cannot expect C++ to magically make your code faster. If speed is of concern, you need profiling to find the bottleneck instead of blind guessing.——Yan Zhou. Thus we have to learn to know how to profile […]
In my office I have two NIPS posters on the wall, 2011 and 2012. But I have not been there and I am not computer scientist neither. But anyway I like NIPS without reason. Now it’s time for me to organize posts from others: NIPS ruminations I NIPS II: Deep Learning and the evolution of […]
Grad Student’s Guide to Good Coffee+Grad Student’s Guide to Good Tea Favorite Apps for Work and Life estimating a constant (not really) Reinforcement Learning in R: An Introduction to Dynamic Programming The Future of Machine Learning (and the End of the World?) 10 Papers Every Programmer Should Read (At Least Twice) R in the Press On Chomsky and […]
Python is great and I think will be also great. For pure mathematics, it has lots of symbol calculations, since pure mathematics is abstract and powerful, like differential geometry, commutative algebra, algebraic geometry, and so on. However, science is nothing but experiment and computation. We also need powerful computational software to help us to carry […]
Recently, I have heard a lot about the disadvantages of frequentist statistics, including the complain about p value, which is a hot topic due to the God particle. Professor Kruschke, J.K. gave a talk on Doing Bayesian Data Analysis @ Michigan State University on September. He mentioned a concept “Intention“, including intended hypothesis, intended experiments, […]
“The best thing about being a statistician is that you get to play in everyone’s backyard.”—John Tukey Being a statistician, work on a diverse range of problems, many of which come from real scientific issues: the challenge of analyzing experimental data or of constructing a stochastic model to explain the experimental puzzles. Along the way, […]
The following four big issues related with big data are really taking the big four aspects into consideration: Jelani Nelson, “Sketching and streaming algorithms for processing massive data” Ronitt Rubinfeld, “Taming big probability distributions” Jeff Ullman, “Designing good MapReduce algorithms” Ashwin Machanavajjhala and Jerome P. Reiter, “Big Privacy” From XRDS. And how to deal with […]
