Category: Book
This category is where the core book content will go (i.e., only related to the table of contents).
Python: AdaBoost
Python: Gradient Boosted Trees
Python: Random Forest Classifier
Python: Decision Tree Classifier
Python: Least Angle Regression (LAR)
Python: Stochastic Gradient Descent (SGD) Regression
Microsoft Azure AutoML
In the video below I provide a brief overview of Microsoft’s Azure AutoML. For background on AutoML, read this.
AutoML
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 […]
Learning Machine
In this post I go a bit “meta”, and talk about learning how to learn about predictive modeling. What you focus on while learning makes a significant difference in the outcome and the type of predictive modeler that you will become. The gist of my message is: don’t focus on language, technique, methods, or even […]