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Machine learning is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks.
If you’re a data scientist, you probably spend a fair amount of time thinking about how to deploy your machine learning models efficiently. ..
Leaders in financial technology (fintech) companies have long known the benefits of using the data they have to build, manage, and grow ..
Running a successful cloud software business is hard. Growing it is even harder. These days just making a brilliant software product is not good ..
Machine learning algorithms require training data. Changing algorithms can affect accuracy. But, the quality of training data has more profound ..
Many machine learning algorithms require predicting the class of given data. You can make simple predictions with the Random Forest Algorithm. ..
The past few years have seen a huge surge of interest in Artificial Intelligence (AI) and Machine Learning (ML) technologies, which are being ..
Data visualization provides a powerful tool to explore, understand, and communicate the valuable insights and relationships that may be hidden ..
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In this article, I detail a method used to investigate a collection of text documents (corpus) and find the words (entities) that represent ..
Cars learning to drive by themselves, mobile phones outperforming professional translators, and home devices that can order Tide PODs by voice ..
Monitoring Apache logs is a daily requirement of a DevOps engineer. A tedious task. Visualization of Apache logs can make monitoring more ..
Let’s say you are running a website that offers online programming courses, and for every module, the end user pays 25 euro. Wouldn’t ..
I have always been a big fan of the CAP theorem and its corollary, PACELC. There are so many articles that talk about these theorems. However, ..
In our previous blog, we discussed some of the biggest challenges that you face in modernizing your data. Data complexity, the constantly ..
While working for a Fortune 500 firm, my team was tasked with creating an application to pull data from one of their Hadoop servers and perform ..
Machine Learning for Microsoft Azure is a cloud analytics service. It allows you to create analysis models to be deployed or changed according ..