For some years now, machine learning has been one of the most celebrated and explored areas of technological development. In particular, deep learning and neural networks have fascinating potential. To illustrate how neural networks function and to demonstrate their success, we'll explain a naive...

With the release of Anypoint Platform 2, there are some exciting changes in the API Autodiscovery feature. Here in this short article, I am going to describe how to make use of it in your applications.

Most developers have been in a situation where they need to make mock API calls. Whether you need to mock a call to help your team implement new features or you need a mock server for integration testing, mountebank is the answer. 

In part 1 of this tutorial, we explained the advantages of and proposed a methodology for using DCNNs for time series analysis by converting time series into gray-scale images. In part 2, we defined a Python class and various methods to perform data processing. In our third and final part, we will...

In our last post, we discussed the importance of developing a strong forecasting engine to predict future energy consumption based on data from past energy consumption. We then discussed the suitability of using a Deep Convolutional Neural Network (DCNN) to form accurate predictions and examined...

Have you ever wondered how to convert a prediction problem into a new format so that you can solve it using available strong forecasting engines? In Part I of this tutorial, I will discuss how to solve one of the most challenging forecasting problems--the next state forecasting trend of electricity...

Current retail data indicates that 51% of Americans prefer online shopping to in-store shopping and that e-commerce is growing at an average rate of 23% year-over-year. Because of this, retailers and companies in other diverse verticals have recognized that pursuing online sales is the easiest...