Shiring.github.io Website Review

i have written the following post about predictive maintenance and flexdashboard today, i have given a webinar for the applied epidemiology didactic of the university of wisconsin - madison titled “from biology to industry. a blogger’s journey to data science.” continue reading.. i have written the following post about data science for fraud detection. 28 jul 2017 » social network an*lysis and topic modeling of codecentric’s twitter friends and followers. i have written the following post about social network an*lysis and topic modeling of codecentric’€™s twitter friends and followers. 17 jul 2017 » how to do optical character recognition (ocr) of non-english docu*ents in r using tesseract? one of the many great packages of ropensci has implemented the open source engine tesseract lately, i have been more and more taken with tidy principles of data an*lysis. they are elegant and make an*lyses clearer and easier to comprehend. following the tidyverse and ggraph, i have been quite intrigued by applying tidy principles to text an*lysis with julia. 13 jun 2017 » data science for business - time series forecasting part 3: forecasting with facebook's prophet. 09 jun 2017 » data science for business - time series forecasting part 2: forecasting with timekit. 28 may 2017 » data science for business - time series forecasting part 1: eda & data preparation. data science is a fairly broad term and encompas*es a wide range of techniques from data visualization to statistics and machine learning models. but the techniques are only tools in a - sometimes very messy - toolbox. and while it is important to know and understand these tools, here, i want to go at it from a different angle: what is the task at hand that data science tools can help tackle, and what in this post, i am exploring network an*lysis techniques in a family network of major characters from game of thrones.. 02 may 2017 » update to autoencoders and anomaly detection with machine learning in fraud an*lytics.