Dinesh Nirmal

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Should’ve, Could’ve, Would've - Making the Optimal Decision

IBM Silicon Valley Lab
November 28, 2016 by Dinesh Nirmal in Machine Learning, Business of Tech

In a previous blog I talked about the value of machine learning and how it could help organizations by making smarter predictions by continually learning and adapting models as it consumed new interactions, transaction and data.  I compared that to how my son embraced learning about the world around him to become gradually smarter, more knowledgeable.  But that doesn’t always mean he is going to make the best decision because he may not have all the information or foresee or correlate past events.

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November 28, 2016 /Dinesh Nirmal
machine learning, Artificial Intelligence, ML, AI, IBM, Dinesh Nirmal, Optimization, IBM Decision Optimization R&D team, Cognitive Optimization, Data, Watson, data science experience (DSX)
Machine Learning, Business of Tech
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