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Chapter 1 of "Machine Learning - A Probabilistic Perspective" by Kevin Patrick Murphy saysWe now consider unsupervised learning, where we are just given output data, without any inputs. The goal...
Asked on 02/12/2021 by yaojp
2 answerI was wondering if labels could be visualized below images in the image grid tool in Image Analytics? I know, this feature might be not terribly useful for images in...
Asked on 02/12/2021 by Sal9K
0 answerI am thinking about the prospective application of a trained classifier in a real-world context. We know that when we do over/under-sampling to balance our dataset, we never touch the...
Asked on 02/12/2021
1 answerWe are planning a marketing campaign to collect data and the response rates for a random sample. Total population size is 10 million and historically, response rates are low...
Asked on 02/12/2021 by Max64
0 answerThis is my code in Python:from __future__ import absolute_import, division, print_function, unicode_literalsimport tensorflow as tffrom matplotlib import pyplot as pltimport numpy as npI checked if the saved model is...
Asked on 02/12/2021 by Remy
1 answerI have trained my classifier on pictures with a mixture of several classeson each picture, e.g. A-F. The classifier is able to (nearly) correctly segment those classeson the...
Asked on 02/11/2021 by user28977
1 answerI have a huge dataset for which I am trying to use an 80-20 (Holdout method) approach to train and test my model. However, the dataset I have been given...
Asked on 02/11/2021
1 answerWhy is RMSProp in many cases converging faster than Momentum? Momentum: $$v_{dW} := beta v_{dw} +(1-beta)dW$$$$W := W-alpha v_{dw}$$ RMSProp: $$ S_{dw} := B cdot S_{dw} + (1-B)cdot (dW)^2$$...
Asked on 02/11/2021
2 answerI have two dataset from two different texts representing lexical density as a proportion based on a corpus. Both datasets are represented in the images below. Now, let's suppose I...
Asked on 02/11/2021 by Samir Ahmane
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