DS 学习 - 打卡贴【欢迎指教】

7-28-2016

finished week 5 homework of Machine learning: Clustering & Retrieval (U. W, Coursera)

read chapter 2.1-2.3 in book - Introduction to statistical learning

7-29-2016

finished week 6 lecture and homework in Machine learning: Clustering & Retrieval (U. W, Coursera)

read chapter 2.4-2.R in book - Introduction to statistical learning

7-30-2016

watched ch2 video in Statistical learning

7-31-2016

watched R Basics in Data analysis with R (Udacity)

went through week 1-2 lectures in The data scientist's toolbox (JHU, Coursera.org)

8-1-2016

watched Explored One Vaiable in Data analysis with R (Udacity)

went through week 3-4 lectures in The data scientist's toolbox (JHU, Coursera.org)

8-2-2016

finish Problem Set: Explored One Variable in Data analysis with R (Udacity)

finish week 1 lecture in R Programming (JHU, Coursera.org)
read chapter 3.1-3.2 in book - Introduction to statistical learning

8-3-2016

finish week 2 lecture in R Programming (JHU, Coursera.org)

8-4-2016

finished week 3 lecture in R Programming (JHU, Coursera.org)
learned: lapply, sapply, vapply, mapply, tapply, split, and lexical scoping

8-5-2016

finished week 4 lecture in R Programming (JHU, Coursera.org)

notes: random sampling, Rprof, System.time, random distributions func.         
d-density, p-cumulative, r-random variates, q-quantile

8-6-2016

Week 1 lecture in Getting and Cleaning Data (JHU, Coursera.org)

- Read and write excel file, xml, json, XPath, data.table