Anyone who has worked in retail knows the anxiety that attends workforce scheduling for both manager and employee. The manager wonders “Will my employees show up at the right times?” The employee wonders “Will I be scheduled for inconvenient times? Enough hours? Too many hours?” The ability of Uber and Lyft to attract drivers, despiteContinue reading “Workforce Management”
Daily Archives: October 7, 2019
Regularize
The art of statistics and data science lies, in part, in taking a real-world problem and converting it into a well-defined quantitative problem amenable to useful solution. At the technical end of things lies regularization. In data science this involves various methods of simplifying models, to minimize overfitting and better reveal underlying phenomena. Some examplesContinue reading “Regularize”
Machine Learning and Human Bias
Does better AI offer the hope of prejudice-free decision-making? Ironically, the reverse might be true, especially with the advent of deep learning. Bias in hiring is one area where private companies move with great care, since there are thickets of laws and regulations in most countries governing bias in employment. The total cost of recruiting,Continue reading “Machine Learning and Human Bias”
Oct 7: Statistics in Practice
This week we take a look at how AI encodes human bias, despite our best efforts. Our spotlight this week is on: Nov 8 – Dec 6: Deep Learning See you in class! – Peter Bruce, Chief Academic Officer, Author, Instructor, and Founder The Institute for Statistics Education at Statistics.com Machine Learning and Human Bias DoesContinue reading “Oct 7: Statistics in Practice”