Category: Book
This category is where the core book content will go (i.e., only related to the table of contents).
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 […]
Python: Symbolic Regression
Here is some video commentary on the code, the code itself is below the video:
Non-Negative Least Squares Regression
Here is some video commentary on the code, the code itself is below the video:
Installing Bokeh
Bokeh can be installed by following the instructions here. Tips: If, like me, you find that your Anaconda prompt terminal has disappeared from the windows menu, go to “Environments” and then hit the play button (e.g. for Base/Root) and click on Open Terminal The command is conda install bokeh
Installing PyTorch
PyTorch is another great platform (along with TensorFlow) for creating machine learning solutions. The process of installing it is relatively straightforward: Step 1: Make sure you have Anaconda installed. If not, go to: Installing Anaconda Step 2: Install PyTorch: Initiate the Anaconda prompt (search for “Anaconda”, you should see the program as well as “Anaconda […]