This category is where the core book content will go (i.e., only related to the table of contents).
In this post we get to see an example of self-organizing map (or SOM) and also see competitive learning in action. This is where one neuron wins at each presentation of input data, and in this way we are able to map a few neurons to large and complex data. The importance of this mapping is […]
In the video below I provide a brief overview of Microsoft’s Azure AutoML. For background on AutoML, read this.
The mitigation of manual labor through automation has always been a goal, especially since the dawn of machines with the industrial revolution. While the term automation was coined in the 1940’s as it related to motor vehicle assembly, today the term has another meaning. Automation of data science/predictive modeling/machine learning is set to usher in […]