Two Types of Estimation One of the major applications of statistics is estimating population parameters from sample statistics. There are types of estimation: Point Estimate: the value of sample statistics Point estimates of average height with multi…
Inferential Statistics Generalizing from a sample to a population that involves determining how far sample statistics are likely to vary from each other and from the population parameter. Sampling Distribution The sampling distribution of a statistic…
Case Study The case study Physicians' Reactions sought to determine whether physicians spend less time with obese patients. Physicians were sampled randomly and each was shown a chart of a patient complaining of a migraine headache. They were then as…
Matrix and Determinant Let C be an M × N matrix with real-valued entries, i.e. C={cij}mxn Determinant is a value that can be computed from the elements of a square matrix. The determinant of a matrix A is denoted det(A), det A, or |A|. In the case of…
http://blog.csdn.net/pipisorry/article/details/52227580 Statsmodels Statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation of statistical models. statsmodels原名叫…
In this Document Purpose Questions and Answers What kind of statistics do the Automated tasks collect How do I revert to a previous set of statistics? Does the automatic statistic collection jobs populate CHAIN_CNT? 11g+ Automatic Mainten…
Machine and Deep Learning with Python Education Tutorials and courses Supervised learning superstitions cheat sheet Introduction to Deep Learning with Python How to implement a neural network How to build and run your first deep learning network Neur…
https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644 How Can I Learn X? Learning Machine Learning Learning About Computer Science Educational Resources Advice Artificial Intelligence How-to Question Learning New Things Lea…
Relevant Readable Links Name Interesting topic Comment Edwin Chen 非参贝叶斯 徐亦达老板 Dirichlet Process 学习目标:Dirichlet Process, HDP, HDP-HMM, IBP, CRM Alex Kendall Geometry and Uncertainty in Deep Learning for Computer Vision 语义分割 colah's blog Feature Visu…
https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md Machine-Learning / Data Mining An Introduction To Statistical Learning - Book + R Code Elements of Statistical Learning - Book Probabilistic Programming & Bayesian Methods…
