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import numpy as np
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Algorithms-Datastructures
Running Time
```python import matplotlib.pyplot as plt import seaborn as sns import numpy as np
Datastructures
```python from future import annotations
Graphs
A graph is a pair $(V, E)$ comprising of $V$, being a finite set of vertices and $E$ being a finite set of edges. Every edge connects two vertices $u$ and $...
Computational-Biology
Quantitation Probabilities
For looking at probability of events, we set the following defintions. Let $A$ be an event and $I$ the given information: $\mathbb{P}(A | I)$: The probab...
Sampling Bayes Theorem
import numpy as np from scipy.special import gammaln from matplotlib import pyplot as plt import seaborn as sns import scipy as sp sns.set_theme()
Parameter Estimation
import numpy as np import matplotlib.pyplot as plt
Orthodox Statistics
import scipy as sp import numpy as np import matplotlib.pyplot as plt
Gaussians
import scipy as sp import numpy as np import matplotlib.pyplot as plt
Expectation Maximization
Difference trial and reference sample
Linear Dependecies
Linear Regression discrepancy
Maximal Entropy
```python import numpy as np import matplotlib.pyplot as plt from scipy.special import gamma import seaborn as sns
Model Selection
import numpy as np import matplotlib.pyplot as plt import seaborn as sns from matplotlib import cm sns.set_theme()
Machine-Learning
Generative Models
```python import numpy as np import matplotlib.pyplot as plt import scipy as sp import seaborn as sns
Classification
import numpy as np from scipy import stats import seaborn as sns import matplotlib.pyplot as plt from matplotlib import cm sns.set_theme()
Regression
```python import numpy as np import matplotlib.pyplot as plt import seaborn as sns
Neural Networks
```python import numpy as np import matplotlib.pyplot as plt import seaborn as sns
Statistical Learning Theory
```python import numpy as np import matplotlib.pyplot as plt import seaborn as sns
SVM
```python import numpy as np import matplotlib.pyplot as plt import seaborn as sns from matplotlib import cm from scipy import stats
Gaussian Processes
```python import numpy as np import matplotlib.pyplot as plt from scipy import stats import seaborn as sns
Mixture Models
```python import numpy as np import matplotlib.pyplot as plt import seaborn as sns from scipy import stats from matplotlib import cm
Linear Latent Variable models
import numpy as np import matplotlib.pyplot as plt import seaborn as sns from scipy import stats
Neural Encoder Decoder
```python x = ‘x’ def setroomlighting(other): print(other)
Bayesian Regression
```python import warnings warnings.simplefilter(action=’ignore’, category=FutureWarning)
Classification
import numpy as np from scipy import stats import seaborn as sns import matplotlib.pyplot as plt from matplotlib import cm sns.set_theme()
Generative Models
```python import numpy as np import matplotlib.pyplot as plt import scipy as sp import seaborn as sns
Regression
```python import numpy as np import matplotlib.pyplot as plt import seaborn as sns