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Our brains have the natural ability to see clusters of like objects and identify outliers. With unsupervised learning algorithms, computers can start doing the same.
Many people (even experienced data pros) confuse related architectures, weakening data-driven solution designs and their business use cases.
Industries are constantly discovering more applications for machine learning. These articles explain how algorithms are searching for new planets, defending against phishing, and evaluating safety for aircraft configurations.
These data visualizations show how quickly popular music is forgotten, how important repetition is to pop songs, and what type of lyrics characterize the subgenre of power metal.
New integration turns Excel data into instant contextual narratives, reducing the time it takes to identify and communicate key insights for speedier decisions.
To tackle the challenges and advanced use cases ahead, companies need to rethink the structure of their data teams.
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