This blog serves as a soft follow up to a previous blog in which we used Facebook’s React, paired with the GridDB Web API, to ingest a CSV file and then visualize said data. In this follow up, we will again use React, but this time we will be using…

Introduction The Naive Bayes algorithm is a classification technique that is based on the Bayes’ Theorem. It assumes that the predictors are independent of each other. A Naive Bayes classifier assumes that the presence of a certain feature in a class is not related to the presence of any other feature. …

On the Internet, there are a lot of sources that provide enormous amounts of daily news. Further, the demand for information by users has been growing continuously, so it is important to classify the news in a way that lets users access the information they are interested in quickly and…

Introduction For this blog, we wanted to showcase using GridDB as a web app’s best friend. We decided to keep all functionality from this app on the web itself — this means we will be utilizing the GridDB WebAPI for all steps of the process: schema creation, ingestion, and querying. The…

Economic indicators have been used in numerous studies to forecast stock prices using well-known statistical methods. The rising power of computers since *2010 has resulted in the development of new methods of machine learning. To discover whether those algorithms can predict the stock market using a variety of mathematical and…

As we are progressing towards a ‘smart’ world, we are neglecting the damage it is causing towards our natural phenomenon. One of the rising concerns among environmentalists is the change in the climate due to global warming. This climate change is traversing the effects on the animals and their habitats…

We have already discussed some of the changes that were released with GridDB Cloud v1.2 in a previous blog, but in this one, we would like to showcase the new Power BI integration. Power BI “is a collection of software services, apps, and connectors that work together to turn your…

Introduction K-nearest neighbors (KNN) is a supervised machine learning algorithm used to perform classification and regression tasks. KNN predicts the correct class for the test data by determining the distance between the test data and the training points. The algorithm selects K number of points which are closest to the test…

What is an Artificial Neural Network? Artificial neural networks (ANNs) are a subset of machine learning and they form the heart of deep learning algorithms. Their structure is inspired by the human brain, mimicking the way biological neurons send signals to each other. ANNs are made up of node layers, which contain an input layer, hidden…