Go hands-on with data scientist Dr. James McCaffrey as he explains neural network dropout, a technique that can be used during training to reduce the likelihood of model overfitting.
- By James McCaffrey
- 02/26/2018
Learn how to do time series regression using a neural network, with "rolling window" data, coded from scratch, using Python.
- By James McCaffrey
- 02/02/2018
The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity.
- By James McCaffrey
- 01/08/2018
The data science doctor continues his exploration of techniques used to reduce the likelihood of model overfitting, caused by training a neural network for too many iterations.
- By James McCaffrey
- 12/05/2017
Our resident data scientist explains how to train neural networks with two popular variations of the back-propagation technique: batch and online.
- By James McCaffrey
- 10/31/2017
Our data science expert continues his exploration of neural network programming, explaining how regularization addresses the problem of model overfitting, caused by network overtraining.
- By James McCaffrey
- 10/05/2017
With the help of Python and the NumPy add-on package, I'll explain how to implement back-propagation training using momentum.
- By James McCaffrey
- 08/15/2017
James McCaffrey uses cross entropy error via Python to train a neural network model for predicting a species of iris flower.
- By James McCaffrey
- 07/20/2017
You don't have to resort to writing C++ to work with popular machine learning libraries such as Microsoft's CNTK and Google's TensorFlow. Instead, we'll use some Python and NumPy to tackle the task of training neural networks.
- By James McCaffrey
- 06/15/2017
With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network.
- By James McCaffrey
- 05/24/2017
Let's explore factor analysis again, this time using the R ability to tap into OOP, but we won't use the RC model.
- By James McCaffrey
- 05/02/2017
Let's use this classical statistics technique -- and some R, of course -- to get to some of the latent variables hiding in your data.
- By James McCaffrey
- 03/16/2017
Find the patterns in your data sets using these Clustering.R script tricks.
- By James McCaffrey
- 02/01/2017
The S3 OOP model is still widely used, so let's use write S3-style OOP code via the R language.
- By James McCaffrey
- 01/10/2017
I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.
- By James McCaffrey
- 12/07/2016