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Fifteen years of making data useful

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A Data Lakehouse without Data?

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Talend at 15 – Continuing to take the work out of working with data

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Do You Trust the Health of Your Data?

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Talend recognized for the first time in the 2020 Gartner Magic Quadrant for Enterprise iPaaS

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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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