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Machine Learning

Delivers platform and consulting services to build your Big Data & Machine Learning implementations.

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Big data and Machine Learning - ML

Pragma Edge provides an integrated platform for Big Data and Machine Learning (ML) utilizing the best practices in Data Integration, Search and Discovery, Collaboration, and knowledge management that are the foundation of building Big Data and Machine Learning. Pragma Edge Delivers platform and consulting services to build your Big Data and Machine Learning implementations.

Pragma Edge Machine Learning utilizes IBM Watson and Blue Mix Watson, which can understand all forms of data, interact naturally with people and learn and reason, at scale.

Understand

With Watson, you can analyze and interpret all of your data, including unstructured text, images, audio, and video.

Reason

Data ingestion in zeppelin can be done with Hive, HBase and other interpreter provided by the zeppelin.

Learn

With Watson, you can utilize machine learning to grow the subject matter expertise in your apps and systems.

Interact

With Watson, you can create chat bots that can engage in dialog.

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Watson Conversation: Quickly build, test and deploy bots or virtual agents across mobile devices, messaging platforms, or even on a physical robot to create natural conversations between your apps and users.

Leverages Apache Spark

Along with IBM Watson Pragma Edge ML leverages Apache Spark, Apache Spark powers a stack of libraries including SQL and Data Frames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application.

Neural networks and deep learning

Apache Spark combined with Neural networks and deep learning currently provide the best solutions to many problems in many areas including Risk Management, Customer Promotions, User behavior , image recognition, speech recognition, and natural language processing. Data Mining, Data Processing, Data Science with algorithms are core behind Pragma Edge Machine Learning to enable neural networks and deep learning.

Machine Learning, Machine Learning, IBM, Pragma Edge, Pragmaedge, B2B, B2B solution, Big data, Big data and Machine learning, Big data machine learning, Deep Learning - Machine Learning, ML,
Machine Learning, Machine Learning, IBM, Pragma Edge, Pragmaedge, B2B, B2B solution, Big data, Big data and Machine learning, Big data machine learning, Neural Network - ML, ML,

Neural Network

Pragma Edge will build neural network for your business, extracting your data and derive hidden asserts and build competitive advantage that can help you strive in your business.

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Machine Learning - FAQ's

Machine Learning, Time Series & Survival Analysis. Develop working skills in the main areas of Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning.
There are four types of machine learning algorithms: supervised, semi-supervised, unsupervised, and reinforcement.
Simply put, machine learning allows the user to feed a computer algorithm an immense amount of data and have the computer analyze and make data-driven recommendations and decisions based on only the input data.
Machine learning is used in internet search engines, email filters to sort out spam, websites to make personalised recommendations, banking software to detect unusual transactions, and lots of apps on our phones such as voice recognition.
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On April 21 2021, 11 AM CT