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Building an AI-Powered Data Analysis Assistant

Building an AI-Powered Data Analysis Assistant Author: Tony Ojeda In today’s data-driven world, organizations are inundated with vast amounts of information, making it increasingly challenging to extract meaningful insights efficiently. The ability to analyze data quickly and accurately has become a critical factor in decision-making processes across various industries. However, not everyone possesses the technical […]

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A Hybrid Approach to Customer Segmentation: Combining Machine Learning and Rules-Based Methodologies

A Hybrid Approach to Customer Segmentation: Combining Machine Learning and Rules-Based Methodologies Author: Evie Fowler Customer segmentation refers to the process of dividing customers into subgroups with similar buying habits and needs. It helps businesses understand their customers better so that they can market existing products more effectively and even develop new products to meet

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MLOps: Building Machine Learning Systems

MLOps: Building Machine Learning Systems Author: Ani Madurkar The importance of thinking larger when designing effective and ethical machine learning systems MLOps is taking the data science and machine learning landscape by storm as organizations struggle to realize the value promised by their data. This is partly due to the difficulty in productionizing machine learning

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