This article was written by Steeve Huang. Reinforcement Learning (RL) refers to a kind of Machine Learning method in which the agent receives a delayed reward in the ...
This is an interesting data science conjecture, inspired by the well known six degrees of separation problem, stating that there is a link involving no more than 6 connec...
This is the next blog in my random series on better understanding some of these advanced Artificial Intelligence and Deep Learning algorithms. This “episode” takes on...
The material discussed here is also of interest to machine learning, AI, big data, and data science practitioners, as much of the work is based on heavy data processing, ...
Data science has become an integral part of a 21st century organization. Almost all the companies, large, medium or small, want to utilize data science to fulfill their b...
In my previous posts, I compared model evaluation techniques using Statistical Tools & Tests and commonly used Classification and Clustering evaluation techniques In ...
With the right business problem, data, and applied techniques predictive analytics can deliver exceptional return on investment (ROI) by, for example, assessing and manag...
StackOverflow’s annual developer survey concluded earlier this year, and they have graciously published the (anonymized) 2019 results for analysis. They’re a rich vie...
Last time I wrote on using Python/Pandas as an adjunct to loading PostgreSQL tables. In this sequel, I demo how R can be used to collaborate with the database in a simi...
Enabling cost-effective terabyte main memory along with third-party observations of a “profound” change in storage, Intel® Optane™ DC persistent memory modules cha...