Data scientist Dr. James McCaffrey provides code, screenshots and step-by-step instructions on how to perform regression using a deep neural network with the Keras code library.
- By James McCaffrey
- 07/23/2018
The Data Science Doctor provides a hands-on tutorial, complete with code samples, to explain one of the most common methods for image classification, deep neural network, used, for example, to identify a photograph of an animal as a "dog" or "cat" or "monkey."
- By James McCaffrey
- 06/25/2018
Our data science doctor provides a hands-on neural networking tutorial to explain how to get started with the popular Keras library, a high-level wrapper over TensorFlow.
- By James McCaffrey
- 05/15/2018
The data science doctor explains everything you need to know about clustering data, the process of grouping items so those in a group (cluster) are similar and items in different groups are dissimilar.
- By James McCaffrey
- 04/30/2018
Our Data Science Lab guru explains how to implement the k-means technique for data clustering, or cluster analysis, which is the process of grouping data items so that similar items belong to the same group/cluster.
- By James McCaffrey
- 03/27/2018
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