Remove Algorithm Remove Food Remove Unstructured Data
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Why Data Capabilities Follow Up a Digital Transformation

Team Data Science

Going further, when a restaurant creates a digital channel for its customers to order food online, it is not only digitizing information. They constitute the major vehicles in which customer digital footprints [ , 12 ] are collected in the form of structured and unstructured data [ , 13 ].

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Fundamentals of Apache Spark

Knowledge Hut

Analytics - Spark can be very useful when building real-time analytics from a stream of incoming data. E-commerce - Information about the real-time transaction can be passed to streaming clustering algorithms like alternating least squares or K-means clustering algorithm.

Hadoop 98
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Data Fabric: The Future of Data Architecture

Monte Carlo

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights. Frequent customer communication and personalization are key to Domino’s success.

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Data Fabric: The Future of Data Architecture

Monte Carlo

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights. Frequent customer communication and personalization are key to Domino’s success.

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Apache Spark Use Cases & Applications

Knowledge Hut

Spark is being used in more than 1000 organizations who have built huge clusters for batch processing, stream processing, building warehouses, building data analytics engine and also predictive analytics platforms using many of the above features of Spark. Some of these algorithms are also applicable to streaming data.

Scala 52
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How to do Anomaly Detection using Machine Learning in Python?

ProjectPro

In data science, algorithms are usually designed to detect and follow trends found in the given data. The modeling follows from the data distribution learned by the statistical or neural model. In real life, the features of data points in any given domain occur within some limits.

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Intelligent Document Processing: Technology Overview

AltexSoft

The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. Machine learning is a field of knowledge that focuses on creating algorithms and training models on data so that they can process new data inputs and make decisions by themselves.