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170515s2017 xx a b 000 0 eng d |
020 |
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|a9781549617218 (pbk.) :|cUSD14.80
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035 |
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|a(OCoLC)987269354
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040 |
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|aJQR|beng|cJQR|dJQR|dOCLCF|dSEA|dNUSCL|dNOU
|
050 |
4
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|aQ325.5|b.T44 2017
|
095 |
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|aLB|bLBF|cE020158|dQ325.5|e.T385|y2017|fWJ|n403|pBook|tLCC
|
100 |
1
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|aTheobald, Oliver.
|
245 |
10
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|aMachine learning for absolute beginners :|ba plain English introduction /|cOliver Theobald.
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250 |
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|a2nd ed.
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260 |
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|a[S.l. :|bIndependently published],|cc2017.
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300 |
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|a162 p. :|bill. ;|c23 cm.
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504 |
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|aIncludes bibliographical references.
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520 |
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|a"The manner in which computers are now able to mimic human thinking to process information is rapidly exceeding human capabilities in everything from chess to picking the winner of a song contest. In the modern age of machine learning, computers do not strictly need to receive an 'input command' to perform a task, but rather 'input data'. From the input of data they are able to form their own decisions and take actions virtually as a human world. But given it is a machine, it can consider many more scenarios and execute far more complicated calculations to solve complex problems. This is the element that excites data scientists and machine learning engineers the most. The ability to solve complex problems never before attempted. This book will dive in to introduce machine learning, and is ideal for beginners starting out in machine learning."--page 4 of cover.
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650 |
0
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|aMachine learning.
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650 |
0
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|aComputer algorithms.
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650 |
0
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|aData mining.
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