Creating an effective, informative, and aesthetically appealing report to showcase your data can be tedious: it’s often difficult to display your data and your plots together in an uncluttered manner,...continue reading.
Motivation I’ve read several studies and articles that claim Econometric models are still superior to machine learning when it comes to forecasting. In the article, “Statistical and Machine Learning forecasting methods:...continue reading.
Motivation I’ve read several studies and articles that claim Econometric models are still superior to machine learning when it comes […] The post Why Machine Learning is more Practical than...continue reading.
Packt Publishing has turned another one of my video courses, Training Your Systems with Python Statistical Modeling, into a book! This book is now available for purchase. It is a...continue reading.
Many news reports scare us with machines taking over our jobs in the not too distant future. Common examples of take-over targets include professions like truck drivers, lawyers and accountants....continue reading.
Necesito para estar sentado, un arbolito en este descampado (Desarraigo, Extremoduro) From time to time I come back to experiment with this stunning photograph of Boris Karloff as Frankenstein’s monster....continue reading.
Hadley Wickham from RStudio has won the 2019 COPSS Award, which expresses a rather radical switch from the traditional recipient of this award in that this recognises his many contributions...continue reading.
This is a reblog from the “Announcing Dash for R” announcement originally published July 10. Dash, the fastest growing framework for building analytic web applications on top of Python models, is...continue reading.
An interesting question (with no clear motivation) on X validated wondering why a Gibbs sampler produces NAs… Interesting because multi-layered: The attached R code indeed produces NAs because it calls...continue reading.
In the post (https://statcompute.wordpress.com/2019/07/14/yet-another-r-package-for-general-regression-neural-network), several advantages of General Regression Neural Network (GRNN) have been discussed. However, as pointed out by Specht, a major weakness of GRNN is the high computational...continue reading.
Each year at the International Workshop on Computational Economics and Econometrics, I award a BayesCamp prize for the talk with … Morecontinue reading.
by Bob Muenchen & Sean MacKinnon One of us (Muenchen) has been tracking The Popularity of Data Science Software using a variety of different approaches. One approach is to use...continue reading.
Very briefly: Last week was useR! conference time again, coming to you this time from Toulouse, France I’ve retrieved 8 318 tweets that mention #user2019 and run them through my...continue reading.
Compared with other types of neural networks, General Regression Neural Network (Specht, 1991) is advantageous in several aspects. Being an universal approximation function, GRNN has only one tuning parameter to...continue reading.
I was at the International Workshop on Computational Economics and Econometrics last week, which I help to organise and is … Morecontinue reading.
After the development of MOB package (https://github.com/statcompute/MonotonicBinning), I was asked by a couple users about the possibility of using the decision tree to drive the monotonic binning. Although I am...continue reading.
Chunk Average (CA) is an interesting concept proposed by Matloff in the chapter 13 of his book “Parallel Computing for Data Science”. The basic idea is to partition the entire...continue reading.
A. Background The growth of womens powerlifting has been a interesting thing to witness over the past decade. There have been massive increases in strength and world records have been...continue reading.
In my previous post https://statcompute.wordpress.com/2019/02/03/sobol-sequence-vs-uniform-random-in-hyper-parameter-optimization/, I’ve shown the difference between the uniform pseudo random and the quasi random number generators in the hyper-parameter optimization of machine learning. Latin Hypercube Sampling...continue reading.
For a lonely soul, you’re having such a nice time (Nothing in my way, Keane) In my previous post, I created the P2 Penrose tessellation according to the instructions of...continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
