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Integrating Data to Build Emotional Health: How SU Queensland Uses Talend to Enrich Service Delivery

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How Alan Turing inspires me as a computer scientist and an ally

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Is your data healthy?

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AutoZone: Exceeding customer expectations with speed of service

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Data health, from prognosis to treatment

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Finding Patterns in Data with Talend

The main purpose of machine learning is to perform learning tasks on unseen data sets, having previously built up experience using training and testing data. Often those tasks can include looking for patterns and relationships between variables within the data. In supervised learning, one of the three main types of machine learning, …

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Automated Machine Learning: is it the Holy Grail?

Authored by Gero Presser, co-founder and managing partner of Quinscape GmbH in Dortmund (@gero_presser) Machine learning is in the ascendancy. Particularly when it comes to pattern recognition, machine learning is the method of choice. Tangible examples of its applications include fraud detection, image recognition, predictive maintenance, and train delay prediction …

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Talend Step-by-Step: Continuous Data Matching & Machine Learning with Microsoft Azure

| February 5, 2018 | Cloud Integration Integrations / Connectors Machine Learning

Today, almost everyone has big data, machine learning and cloud at the top of their IT “to-do” list. The importance of these technologies can’t be overemphasized as all three are opening up innovation, uncovering opportunities and optimizing businesses. Machine learning isn’t a brand new concept, simple machine …

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