Analyzing Qualitative Data, part 1: Pareto, Pie, and Stacked Bar Charts
Banking and Finance
| 4 Minute Read
Analyzing Qualitative Data, part 1: Pareto, Pie, and Stacked Bar Charts
Enhancing Weekly Productivity with Staged Control Charts
Banking and Finance
| 3 Minute Read
Enhancing Weekly Productivity with Staged Control Charts
“Hello, How Can I Help You?”- A Look at Quality Improvement in Financial Services
Banking and Finance
| 4 Minute Read
“Hello, How Can I Help You?”- A Look at Quality Improvement in Financial Services
Quality Improvement in Financial Services
Banking and Finance
| 2 Minute Read
Quality Improvement in Financial Services
Using Statistics for Process Improvement Outside of Manufacturing
Banking and Finance
| 2 Minute Read
Using Statistics for Process Improvement Outside of Manufacturing
Guest Post: It’s Tough to Make Predictions, Especially about the Future (even with Machine Learning) (Insights America 2019)
Banking and Finance
| 3 Minute Read
At its core, all Machine Learning algorithms follow a two-part process. First a sequence of increasingly complex functions is fit to part of the data (training data set). Then each model in the sequence is evaluated on how well it performs on the data that was held out (the holdout set).