Linear algebra and learning from data
Gilbert Strang
Bok Engelsk 2019
| Utgitt | Cambridge : Cambridge University Press , 2019
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| Omfang | XIII, 432 sider : figurer
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| Utgave | 1st edition
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| Opplysninger | "This book aims to explain the mathematics on which data science depends: Linear algebra, optimization, probability and statistics. The weights in the leaning function go into matrices. Those weights are optimized by "stochastic gradient descent". That word stochastic (= random) is a signal that success is governed by probability not certainty. The law of large numbers extends to the law of large functions: If the architecture is well designed and the parameters are well computed, there is a high probability of success." - Side viii
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| Emner | |
| Dewey | |
| ISBN | 9780692196380
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