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We present the first ever set theoretic independence result of a machine learning question.
This kind of machine learning question can be transformed into a more tractable problem [12].
When I spoke to Box CEO Aaron Levie last year at the Boxworks customer conference, I had to ask the obligatory machine learning question.
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Among the most important are machine learning, natural-language question answering and virtual personal assistants (VPAs).
All this ties in with Google's aim of advancing machine learning and the question of why none of it ever appeared in Gmail seems to have been answered.
We will discuss a framework for reasoning about when to apply various machine learning techniques, emphasizing questions of over-fitting/under-fitting, regularization, interpretability, supervised/unsupervised methods, and handling of missing data.
Non-convexity surfaced many times, a feature of many machine learning problems, and questions relating to when non-convexity is a barrier or not to global optimization, or how to converge quickly to local minima, were addressed.
To operate the clinical question answering application AskHERMES, Cao and his colleagues used a machine learning approach to classify questions, and they utilized query keywords in a clustering technique for presenting output [ 16].
Therefore, we rely on supervised machine learning algorithms to classify questions for selecting threads with how-to-do-it and debug-corrective question types.
Bamman's work applies natural language processing and machine learning techniques to empirical questions in the humanities and social sciences.
Now, A.I. is the new frontier in financial information and to own Kensho, a first mover in plying machine learning techniques to financial questions, S&P is paying a big pricetag.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com