The Machine Learning Lifecycle (Adapted from Microsoft’s – Data Science Lifecycle) 87% of machine learning projects fail to make it into production. Deploying ML models in business… Read More »How to use MLOps for an effective AI strategy
Many of the stages in a typical data science lifecycle have more to do with data than they do with science. Before the data scientist… Read More »How Data Virtualization Can Remove the Bottlenecks to Data Science
Nowadays, if we look around, we can see that everything from jobs and entertainment to smart homes and vehicles depend on some type of computer… Read More »Tools And Models Used In Software Testing
From the Editor’s Desk When working with information, context is becoming increasingly important. All too often, data scientists and analysts tend to work upon the… Read More »Data Science Central Weekly Digest, 18 Jan 2021
Statistical analysis is poorly misunderstood by many, resulting in array of problems. There are many ways to ruin your data analysis. 4 of the less… Read More »4 Common Data Analysis Mistakes to Watch Out For
Here I provide translations for various important terms, to help professionals from related backgrounds better understand each other. In particular, machine learning professionals versus statisticians.… Read More »Machine Learning / Stats / BI: Mini Translation Dictionary
The title of this blog is accurate There are indeed some caveats / disadvantages to automated machine learning. This blog was motivated by a question… Read More »Advantages and Disadvantages of Automated Machine Learning
Gerrymandering has long been a problem in the process of choosing elected officials globally, but it is especially a problem in the United States, where… Read More »Can Gerrymandering Be Ended via Machine Learning?
The purpose of this script is to load and clean all of the various .csv files containing polling place data into R. The data, which is available… Read More »Reading Multiple CSVs into Merged R Dataframe
Artificial intelligence is reshaping almost all the aspects of doing business, from finance to sales and R&D to operations. Its most profound impact is, however,… Read More »How artificial intelligence will change the future of marketing
