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

Deep Learning Trends Predictions for 2017 01/01/2017 https://www.linkedin.com/pulse/10-deep-learning-trends-predictions-for2017-carlos-e-perez 10 Deep Learning Trends and Predictions for 2017 by Carlos E. Perez Deep Learning Patterns, Methodology and Strategy I used to write predictions for the upcoming year in my older blog. The last one I recall writing was “Software Development Trends and Predictions for 2011”. That’s quite a long time ago. Just to recap, out of 10 predictions, I gather that I got 6 accurately (i.e. Javascript VM, NoSQL, Big

https://www.linkedin.com/pulse/10-deep-learning-trends-predictions-for2017-carlos-e-perez 10 Deep Learning Trends and Predictions for 2017 by Carlos E. Perez Deep Learning Patterns, Methodology and Strategy I used to write predictions for the upcoming year in my older blog. The last one I recall writing was “Software Development Trends and Predictions for 2011”. That’s quite a long time ago. Just to recap, out of 10 predictions, I gather that I got 6 accurately (i.e. Javascript VM, NoSQL, Big