Monthly Archive: September 2017
We will review another fascinating approach that marries heuristic and probabilistic methods. We will link marketing channels with a probability of a customer passing through each step of a Sales...continue reading.
Yesterday and today I attended the data2day, a conference about Big Data, Machine Learning and Data Science in Heidelberg, Germany. Topics and workshops covered a range of topics surrounding (big)...continue reading.
There are couple of interesting findigns while I was trying to get maximum reward for the hooper. 1- Adam optimizer works much better than gradient descent. The following plots shows...continue reading.
In the post (https://statcompute.wordpress.com/2017/06/15/finer-monotonic-binning-based-on-isotonic-regression), it is shown how to do a finer monotonic binning with isotonic regression in R. Below is a SAS macro implementing the monotonic binning with the...continue reading.
Mining USPTO full text patent data – Analysis of machine learning and AI related patents granted in 2017 so far – Part 1
The United States Patent and Trademark office (USPTO) provides immense amounts of data (the data I used are in the form of XML files). After coming across these datasets, I...continue reading.
Regression Analysis — What You Should’ve Been Taught But Weren’t, and Were Taught But Shouldn’t Have Been
The above title was the title of my talk this evening at our Bay Area R Users Group. I had been asked to talk about my new book, and I...continue reading.
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.” I...continue reading.