Online learning is when we update our model based onone data sample at a timeall data samplesnone of the abovea subset of data samples When minimizing the sum of squared errors2J(w) = minw Σm²1 (f(x;; w) - Yi) for Least Mean Squares we want toi=1уiupdate our weights using which of the following:the closed form equationO the postive gradientO the negative gradientthe integral

ANSWER-1: Option A One data Sample at a time. Online Learning models process one sample of data at a…

When minimizing the sum of squared errors 2 J(w) = minw C'ï1 (f(x;; w) - Y;) for Least Mean Squares we want to Yi update our weights using which of the following: O the closed form equation O the postive gradient O the negative gradient O the integral

When minimizing the sum of squared errors 2 J(w) = minw C'ï1 (f(x;; w) - Y;) for Least Mean Squares we want to Yi update our weights using which of the following: O the closed form equation O the postive gradient O the negative gradient O the integral

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

Online learning is when we update our model based on
one data sample at a time
all data samples
none of the above
a subset of data samples

When minimizing the sum of squared errors
2
J(w) = minw Σm²1 (f(x;; w) - Yi) for Least Mean Squares we want to
i=1
уi
update our weights using which of the following:
the closed form equation
O the postive gradient
O the negative gradient
the integral

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