Machine Learning 

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Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a 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 in medicine, email filteringspeech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.

A subset of machine learning is closely related to computational statistics, which focuses on making predictions using computers; but not all machine learning is statistical learning. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a related field of study, focusing on exploratory data analysis through unsupervised learning. Some implementations of machine learning use data and neural networks in a way that mimics the working of a biological brain. In its application across business problems, machine learning is also referred to as predictive analytics.

Data Science

Data science aims to extract insight from data in different forms, both structured and unstructured. It’s a multi-disciplinary field, including everything from applied mathematics to statistics and artificial intelligence to machine learning.

Data Warehousing

The current data warehouse system is powerful, scalable, and affordable—enabling organizations to share petabytes of data across thousands of users with the security, governance, and availability that large enterprises demand.

Data Visualization

Data visualizations perform the best role in addressing this challenge and help with interacting science outputs to a wide variety of audiences. A well-designed data visualization can make a big impact in being able to uncover discoveries that would otherwise continue unnoticed.

Big Data Implementation

Big Data services improve the decision, processes, and management of the organization. It helps to deliver customer-centric services, products, and experiences. Big Data surpasses the ability of traditional databases to seize, process, and manage.

Data Migration

Data Migration is the changes in data between storage types, formats, or software systems. It should be a key consideration for any system implementation, rise or consolidation. In an ideal world, it would be performed programmatically to make an automated migration. 

Data Analytics

Data analytics is the process to analyze data sets in order to attract conclusions about the information they receive frequently with the help of specific systems and software.

We Integrate With Your Ecosystem

Vortex Corporation maintains the corporate standard to provide world-class service to our clients worldwide. Vortex mainly focuses on Privacy-Policy standard to stay ahead in the race.

AI

Artificial Intelligence and machine learning algorithms will help you process unutilized or non-utilized data, identify the trends, which would not be possible to a human being - and then make decisions to meet specific objectives. The competitive advantage of machine learning holds the key to increase the business in attaining new heights.