Alley, M. (2013). The craft of scientific presentations (2nd ed.). Springer.
Refresh your use of the assertion evidence method by reviewing chapter 5, and all of the critical error subsections within.
Chapter 5: Delivery – You, the Room, and the Audience: Critical errors are discussed, including not preparing enough, drawing words from the wrong well, not paying attention, and losing composure.
This article from IBM discusses how data bias can lead to unfair, inaccurate and unreliable AI systems resulting in serious consequences for individuals, businesses and society.
Google Developers. (n.d.). Classification: Accuracy, recall, precision, and related metrics.
This 70-minute module from Google ML goes through classification modeling topics including the confusion matrix and accuracy, recall, precision, and related metrics.
Number Analytics. (n.d.). Comparing mean absolute error with other regression metrics.
This article from Number Analytics focuses on using Mean Absolute Error (MAE) as a primary metric for assessing regression predictions. It describes the calculation, practical applications, and integration of MAE into model optimization.
This article explains how Cross-validation is used to assess a model’s predictive capability by testing its generalizability with different portions of a dataset.
