Sometimes when dealing with performance metrics, there are contradictory signals. For instance, although both are desirable, it is common for efficiency and efficacy to be… Read More »Reconciling Opposing Performance Metrics Using Operational Simulations
Summary: A major problem with chatbots is that they can only provide information from what’s in their knowledge base. Here’s a new approach that makes… Read More »Make Your Chatbot Smarter by Talking to It
TimeSeries.OBeu v1.2.2 release on CRAN We are very pleased to announce TimeSeries.OBeu v1.2.2 on CRAN! TimeSeries.OBeu is used on OpenBudgets.eu data mininig tool platform with OpenCPU… Read More »TimeSeries.OBeu v1.2.2 release on CRAN
What a weird question. That’s what you would have thought after reading the headline. Perhaps you thought the word “NOT” was accidental. Hmm, for past… Read More »So, How Many ML Models You Have NOT Built?
This article was written by Blaine Bateman In this post, I will demonstrate the use of nonlinear models for time series analysis, and contrast to linear… Read More »Limits of Linear Models for Forecasting
This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented… Read More »Selected Recent Articles from Top DSC Contributors – Part 2
There are many good and sophisticated feature selection algorithms available in R. Feature selection refers to the machine learning case where we have a set… Read More »Simple automated feature selection using lm() in R
Across the country, animal shelters work around the clock to help pets get rescued. For the most part, people assume animal adoption is mostly driven… Read More »Predicting animal adoption with Random Forest, SVM
Two particular events directed my attention recently to the importance to democratise information about AI into governence and popular culture. The first was a congressional… Read More »AI needs further demystification and democratisation
Stochastic Signal Analysis is a field of science concerned with the processing, modification and analysis of (stochastic) signals. Anyone with a background in Physics or… Read More »Machine Learning with Signal Processing Techniques
