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1. Elements of Probability Theory and Statistical Data Analysis
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2. Random Numbers
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3. Random Numbers, better name: pseudo random numbers
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4. Random number generator RNG
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5. Random number generator RNG and periodic outputs
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6. Random number generator RNG and its period
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7. Random number generator RNG, other examples
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8. Random number generator RNG, other examples
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9. Random number generator RNG, RAN0
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10. Random number generator RNG, RAN0
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11. Random number generator RNG, RAN0
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12. Random number generator RNG, RAN0
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13. Random number generator RNG, RAN0 code
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14. Which RNG should I use?
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15. Getting started, our first data and Machine Learning encounters
2. Getting started, our first data and Machine Learning encounters
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16. Linear Regression and more Advanced Regression Analysis
3. Linear Regression and more Advanced Regression Analysis
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17. Logistic Regression
4. Logistic Regression
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18. Neural networks, from the simple perceptron to deep learning
5. Neural networks, from the simple perceptron to deep learning
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19. Support Vector Machines, overarching aims
6. Support Vector Machines, overarching aims
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20. Dimensionality Reduction
7. Dimensionality Reduction
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8. Convolutional Neural Networks
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[ 0.37402521 -0.6723554 0.34705159 -0.23106244 0.37640289 1.26261376
-1.28899002 0.59279401 -1.28878405 -0.82161508]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[-0.15903306 -1.03373868 0.31582494 -0.65395262 0.96308377 -0.89760255
1.62466988 1.27946914 -0.71331923 -0.2179017 ]
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