I would like to share a few things with you from recent experience of my transition from academia to industry. Of course I have a lot more experience than a fresh graduate, but something I’ve experienced that many others may benefit from. I believe this will help you to think at least. I’ve written this with the candidates in the US job market in mind.
Firstly, I would say this– lies, damn lies, statistics, AND one-page resume. I hope you got what I meant. One-page resume never worked for me. Here’s why.
We’re moving to a new domain named statsML.com. It represents “Statistics and Machine Learning”. All the links should be working just fine. If you notice any hiccup, please do not hesitate to notify us. Thank you!
In this new era of science, the word ‘Statistics’ has a fascinating sense of hidden insights and analytics, data modelling, mining, learning from features, all about huge data management approaches by analyzing, interpreting, representing by figures and predicting for next decades and so on. World is hunting for big data analysts, world is getting hunger for researchers, data scientists and statisticians.
R is a free software for statistical analysis and graphics. It has become widely popular among statisticians as well as people from other disciplines. It is a free software, and can be downloaded from here. There are various functions in R to construct graphs. Moreover, graphs are more flexible way to visualize information extracting from data. In light of this situation, the aim of this article is to give some ideas on producing graphs using R. Hope this will be helpful for R learners. Read more
Here is examples of some LaTeX codes that can be very tricky to remember but used quite frequently in typesetting mathematical and statistical papers. I am listing them as I find them. Please feel free to share yours.