Apache Spark is one of the most popular open-source engines for Big Data processing and analytics. Its distributed architecture can process workloads in a highly parallelized manner, thus allowing Spark to achieve high computation efficiency – especially when processing extensive data sets. This article aims to help you familiarize yourselves … Read more
Classification is a supervised machine learning problem in which the task is to predict the correct class labels (two or more) for a set of observations. An essential step in developing a classifier is to evaluate its performance. Only when we understand how well a model sorts observations into the … Read more
Neural networks can generate various outputs, which is especially useful in time-series forecasting to forecast longer periods. In time series regression, the number of neurons in the final output layer determines how many steps in a time series the model can predict. Models with one output return single-step forecasts. Models … Read more