John Paul Mueller

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John Paul Mueller


Born
May 29, 1958

Genre


Average rating: 3.58 · 1,076 ratings · 157 reviews · 174 distinct worksSimilar authors
Artificial Intelligence For...

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3.39 avg rating — 246 ratings — published 2018
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Beginning Programming with ...

3.61 avg rating — 144 ratings — published 2014 — 30 editions
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Machine Learning for Dummies

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3.54 avg rating — 141 ratings10 editions
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Python for Data Science For...

really liked it 4.00 avg rating — 76 ratings — published 2014 — 22 editions
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C++ All-In-One Desk Referen...

3.97 avg rating — 69 ratings23 editions
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Algorithms for Dummies

3.50 avg rating — 48 ratings16 editions
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VBA For Dummies

2.90 avg rating — 31 ratings — published 2003 — 27 editions
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Windows Command Line Admini...

3.65 avg rating — 23 ratings — published 2010 — 6 editions
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Deep Learning For Dummies

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3.50 avg rating — 22 ratings8 editions
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HTML5 Programming with Java...

3.57 avg rating — 14 ratings — published 2013 — 5 editions
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More books by John Paul Mueller…
Quotes by John Paul Mueller  (?)
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“The central idea is that you can represent reality using a mathematical function that the algorithm doesn’t know in advance but can guess after having seen some data. You can express reality and all its challenging complexity in terms of unknown mathematical functions that machine learning algorithms find and make advantageous. This concept is the core idea for all kinds of machine learning algorithms.”
John Paul Mueller, Machine Learning For Dummies

“leaving to the algorithm to determine the data patterns on its own. This type of algorithm tends to restructure the data into something else, such as new features that may represent a class or a new series of uncorrelated values.”
John Paul Mueller, Machine Learning For Dummies

“You need to distinguish between regression problems, whose target is a numeric value, and classification problems, whose target is a qualitative variable, such as a class or a tag.”
John Paul Mueller, Machine Learning For Dummies



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