Tag: R

Feed: R-bloggers. Author: R Bloggers on Francisco Bischoff. In the last post we’ve understood and find Discords in our data. For the next question, we will still be using the datasets available at https://github.com/matrix-profile-foundation/mpf-datasets so you can try this at home. The original code (MATLAB) and data are here. Now let’s start: Is there any pattern that is common to these two time series? Now we will see one of the most interesting and fast jobs that the Matrix Profile can do (there are more, for sure). In the later tasks, we were comparing a dataset with itself. Now we ... Read More

Feed: R-bloggers. Author: Econometrics and Free Software. This blog post will not have any code, but will document how I went from hosting appson shinyapps.io to hosting shiny apps on my own server, which is a Raspberry Pi 4B with 8 gigs of ram.First of all, why hosting apps on a Raspberry Pi? And why not continue on shinyapps.io?Or why not get one of hose nifty droplets on DigitalOcean? Well for two reasons; one is that I wantedto have full control of the server, and learn some basic web dev/web engineering skills that I lacked. These servicessimplify the process of ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: sairam. Data Science has been coined everywhere, and everybody wants to express their views and thoughts on this subject even though they are a novice or lack adequate knowledge about data science! The idea that everyone can become a data scientist only by studying a few technological advances and solving any complicated problems cripples the world today.  Let us first understand the career perspectives of data science. Data science has three pillars: Business Expert - Data Analyst Technology Expert - Data Engineer Statistics & Algorithm - Data Scientist First, make it ... Read More

Feed: R-bloggers. Author: Marcin Kosiński. [This article was first published on http://r-addict.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Why R? 2020 conference 2020.whyr.pl is happening this week. There are still some last seats for workshops held on Friday Sept 25th/ Registration for workshops started 2020-09-01. Workshops take place 2020-09-25. They are divided to 2 sessions 09:00 – 12:30 / CEST / GMT+2 – Morning (M) 14:00 – 17:30 / CEST / ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Sergey Lukyanchikov. InterSystems IRIS – the All-Purpose Universal Platform for Real-Time AI/ML Author: Sergey Lukyanchikov Challenges of real-time AI/ML computations We will start from the examples that we faced as Data Science practice at InterSystems: A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a “flat” promo campaign master there will be used a “segment-tactic” matrix). What will happen to the recommender mechanisms? What will happen to data ... Read More

Feed: R-bloggers. Author: George Pipis. [This article was first published on R – Predictive Hacks, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Few words about Thompson Sampling Thompson Sampling is an algorithm for decision problems where actions are taken in sequence balancing between exploitation which maximizes immediate performance and exploration which accumulates new information that may improve future performance. There is always a trade-off between exploration and exploitation in all Multi-armed bandit ... Read More

Feed: R-bloggers. Author: R | Quantum Jitter. [This article was first published on R | Quantum Jitter, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.Reading news articles on the will-they-won’t-they post-Brexit trade negotiations with the EU sees days of optimism jarred by days of gloom. Do negative news articles, when one wants a positive outcome, leave a deeper impression?I wondered if I could get a more objective view from quantitative analysis of textual data ... Read More

Feed: R-bloggers. Author: R on OSM. [This article was first published on R on OSM, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.In our last post, we ran simulations on our 1,000 randomly generated return scenarios to compare the average and risk-adjusted return for satisfactory, naive, and mean-variance optimized (MVO) maximum return and maximum Sharpe ratio portfolios. We found that you can shoot for high returns or high risk-adjusted returns, but rarely both. Assuming ... Read More

Feed: R-bloggers. Author: » R. [This article was first published on R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.I first got to grips with the R coding language to do the statistical analysis for my dissertation, but I still did all my actual writing in more traditional word processing apps. This became a pain any time I needed to copy-paste an update into a table or, even worse, change a plot and re-export ... Read More

Feed: Planet PostgreSQL. PL/Python can be a convenient and powerful way to take advantage of your PostgreSQL database. In an earlier post, I talked a little bit about how you can use modules included in the Python standard library with PL/Python functions. In this post, we'll try running NumPy in a simple user-defined function which also takes advantage of PL/Python database access functions. The function will show a working example of how to easily convert a data table in Postgres to a NumPy array ... Read More