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Treffer 141 - 160 von 19.789

141

Hypothesis(es) Testing
Maitra, Sarit ; Maitra, Sarit
A Practical Guide to Static and Dynamic Econometric Modelling : Examples and Analysis with Python Code Embedded. :29-46

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142

Linear Regression
Lederer, Johannes ; Härdle, Wolfgang Karl, Series Editor ; Lederer, Johannes
A First Course in Statistical Learning : With Data Examples and Python Code. :113-138

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143

Support-Vector Machines
Lederer, Johannes ; Härdle, Wolfgang Karl, Series Editor ; Lederer, Johannes
A First Course in Statistical Learning : With Data Examples and Python Code. :187-243

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144

Unsupervised Learning
Lederer, Johannes ; Härdle, Wolfgang Karl, Series Editor ; Lederer, Johannes
A First Course in Statistical Learning : With Data Examples and Python Code. :69-111

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145

Deep Learning
Lederer, Johannes ; Härdle, Wolfgang Karl, Series Editor ; Lederer, Johannes
A First Course in Statistical Learning : With Data Examples and Python Code. :245-282

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146

Regularization
Lederer, Johannes ; Härdle, Wolfgang Karl, Series Editor ; Lederer, Johannes
A First Course in Statistical Learning : With Data Examples and Python Code. :159-186

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147

Fundamentals of Data
Lederer, Johannes ; Härdle, Wolfgang Karl, Series Editor ; Lederer, Johannes
A First Course in Statistical Learning : With Data Examples and Python Code. :1-34

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148

Exploratory Data Analysis
Lederer, Johannes ; Härdle, Wolfgang Karl, Series Editor ; Lederer, Johannes
A First Course in Statistical Learning : With Data Examples and Python Code. :35-67

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149

Zernike Moments Description of Solar and Astronomical Features: Python Code
Hossein Safari ; Nasibe Alipour ; Hamed Ghaderi ; et al.
Iranian Journal of Astronomy and Astrophysics, Vol 10, Iss 3, Pp 267-278 (2023)

zernike moment solar dynamics observato... solar images python-code Astronomy QB1-991
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150

What does this Python code do? An exploratory analysis of novice students’ code explanations
van der Werf, Vivian ; Aivaloglou, Efthimia ; Hermans, Felienne ; et al.
Proceedings of the 10th Computer Science Education Research Conference. :94-107

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151

Autograding Python Code with the Pedal Framework: Feedback Beyond Unit Tests
Bart, Austin Cory ; Gusukuma, Luke
Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2. :1893-1893

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160

Correction: A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference: Pankaj Sharma
Rohit Salgotra ; Pankaj Sharma ; Saravanakumar Raju ; et al.
Archives of Computational Methods in Engineering.

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