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CRISP-DM, the cross-industry standard process for data mining, is composed of six phases. Most new d ...
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Nothing is more important to the future of predictive analytics teams than proving their projects ha ...
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Building world-class predictive analytics solutions requires recognizing that the challenges of scal ...
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Having a solid understanding of linear regression-a method of modeling the relationship between one ...
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Unsupervised learning is a type of machine learning where algorithms parse unlabeled data. The focus ...
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One type of problem absolutely dominates machine learning and artificial intelligence: classificatio ...
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A proper predictive analytics and data-mining project can involve many people and many weeks. There ...
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If you're working towards an understanding of machine learning, it's important to know how to work w ...
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Organizations in nearly every industry are seeking and hiring data scientists, but many of these pro ...
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Many data science specialists are looking to pivot toward focusing on machine learning. This course ...
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The most common way to start a career in data science is to master the technical aspects of the job ...
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Most data science training focuses only on key technologies. But real-world data science jobs requir ...
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KNIME is an open-source workbench-style tool for predictive analytics and machine learning. It is hi ...
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Ensembles involve groups of models working together to make more accurate predictions. When creating ...
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