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What I learned from over 100 Data Science Interviews at Amazon

Interviewing is a very subjective process. Each role, candidate, and interviewer is different, and therefore there can’t be a strict set of “rules” that specify how it is best done. This article is purely a set of learnings gained from interviewing many candidates throughout my career to date, including over 100 Data Science & Analytics…
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February 6, 2020 0

Automation and Displacement: The Economic Fears of AI

Hollywood and modern media have taken creative philosophical license in promoting either the benefits and/or dangers of automation. However, from an economic point of view, there are some who are grumbling about the potential impact of AI, displacing millions of people into unemployment and into other safety net programs that strike fear into the heart…
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February 3, 2020 0

Difference between Machine Learning and Deep Learning

A machine’s ability to mimic human behavior is ARTIFICIAL INTELLIGENCE (AI). Machine Learning (ML) is a subset of AI, & Deep Learning (DL) is a subset of ML.  ML provides systems the ability to automatically learn from experience without being explicitly programmed.  Examples: Spam email detection, Online fraud detection, YouTube video recommendations DL is ML…
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February 1, 2020 0

A Human Journey

The true inspiration of AI ( Artificial Intelligence ) is the never ending quest to discover human himself, and the process of discovery can be to make something, which can enact with Human Intelligence. For examples lets recollect our journey as a kid, and how excited we were when we saw the wild animals. Filled…
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February 1, 2020 0

ML v DL

Both Machine Learning and Deep Learning are nesting dolls or subsets of a larger concept known as Artificial Intelligence with Deep Learning fitting in Machine Learning and Machine Learning fitting in Artificial Intelligence.  Deep Learning is used for image processing, natural language processing, and other types of data along the same vein, ultimately it is…
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February 1, 2020 0