Inspirational Quote of the Week - on Trust 06/16/2017 Trust has two dimensions: competence and integrity. We can forgive mistakes of competence. Mistakes of integrity are harder to overcome.

Trust has two dimensions: competence and integrity. We can forgive mistakes of competence. Mistakes of integrity are harder to overcome.

CNN and RNN for Machine Learning 04/27/2017 CNN and RNN for machine learning - San Diego Women in Data Science AMLA presented a talk on CNN and RNN for machine learning. Review on architecture of Artifical Neural Network, architecture and process of Convolutional Neural Network and architecture and process of Recurrent Neural Network were presented to San Diego Women in Data Science.

CNN and RNN for machine learning - San Diego Women in Data Science AMLA presented a talk on CNN and RNN for machine learning. Review on architecture of Artifical Neural Network, architecture and process of Convolutional Neural Network and architecture and process of Recurrent Neural Network were presented to San Diego Women in Data Science.

MAE and RMSE — Which Metric is Better? 02/23/2017 Mean Absolute Error versus Root Mean Squared Error Mean Absolute Error (MAE) and Root mean squared error (RMSE) are two of the most common metrics used to measure accuracy for continuous variables. Not sure if I’m imagining it but I think there used to be a time when there were a lot more published MAE results. It seems that publications I come across now mostly use either RMSE or some version of R-squared. Is RMSE actually better in most cases? When would it be better to use MAE? I wanted to

Mean Absolute Error versus Root Mean Squared Error Mean Absolute Error (MAE) and Root mean squared error (RMSE) are two of the most common metrics used to measure accuracy for continuous variables. Not sure if I’m imagining it but I think there used to be a time when there were a lot more published MAE results. It seems that publications I come across now mostly use either RMSE or some version of R-squared. Is RMSE actually better in most cases? When would it be better to use MAE? I wanted to