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When tomorrow comes

This morning, I spoke to a device in my room “is my flight later today on time?”. Having an affirmative answer, I ask ‘her’  to

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Why Data Science projects fail?

Brilliant ideas/algorithms are easy; execution is the hardest. Companies are racing for data scientists and eventually set them up for failure. For most organizations, data

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Why DS projects fail

1: Lack of Resources to Execute Data Science Projects Data science is an interdisciplinary approach that involves mathematicians, statisticians, data engineering, software engineers, and importantly,

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