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Our Big Data - Machine Learning Services
Whether your organization is just beginning with the B2B integration and/or MFT journey or wishes to expand and optimize its long-established capabilities, Pragma Edge has the essential experience, talent, and tools to help your company achieve its goals.
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Needless to mention that Apache Spark is becoming the de-facto platform for big data analytics. It is a web-based notebook that enables interactive data analytics. Apache Spark and Zeppelin play a critical role in delivering the Pragma Edge ML solution. It is a fast, in-memory data processing engine that can handle large-scale data processing. Want to learn more about using Apache Spark and Zeppelin? Then you gotta click on this.
Do you know Hadoop is slowly becoming a savior of this big data world? Put simply, Hadoop can be thought of as a set of open-source programs and procedures, or we call it a framework, that manages data processing and storage for big data applications running in clustered systems. At Pragma Edge, we deliver End-to-End solutions for Hadoop right from consulting to deployment to end support. Want to know more? Then check our service.
How it would be if we give the computers the capability to learn without being explicitly programmed? Kudos! Machine Learning has begun to reshape how we live. It is an Artificial Intelligence (AI) discipline geared toward the technological development of human knowledge. Create, train, and deploy self-learning models using an automated, collaborative workflow with the Machine Learning Service offered by Pragma Edge. Common! Let’s rethink humans and machines with Artificial Intelligence.
Pragma Edge Provides services on Watson X, it is an innovative Artificial Intelligence (AI) and Data Platform designed to enable enterprises with a focus of scale and accelerating the impact of AI capabilities with trusted data. Watson X Platform offers a comprehensive solution that covers data storage, hardware, and foundational models for Artificial Intelligence (AI) and Machine Learning (ML). This platform provides an open ecosystem, enabling enterprises to design and tune large language models (LLMs) for operational and business requirements.
Big Data - Machine Learning Services - FAQ's
Machine learning is used in internet search engines, email filters to sort out spam, websites to make personalized recommendations, banking software to detect unusual transactions, and lots of apps on our phones such as voice recognition.
Big Data is more of extraction and analysis of information from huge volumes of data. Machine Learning is more of user input data and algorithms for estimating unknown future results. Types of Big Data are Structured, Unstructured, and Semi-Structured.
There are four types of machine learning algorithms: supervised, semi-supervised, unsupervised, and reinforcement.
The classification of big data is divided into three parts, such as Structured Data, Unstructured Data, and Semi-Structured Data.