ForteXX-2020

from pylab import plt
import numpy as np

def f(x):
    return 3 * x ** 3 - 4 * x ** 2  

x = np.linspace(-2, 4, 25)

y = f(x)

ForteXX-2020

from pylab import plt
import numpy as np

def f(x):
    return 3 * x ** 3 - 4 * x ** 2  

x = np.linspace(-2, 4, 25)

y = f(x)

ForteXX-2020

from pylab import plt
import numpy as np

def f(x):
    return 3 * x ** 3 - 4 * x ** 2  

x = np.linspace(-2, 4, 25)

y = f(x)

ForteXX-2020

import numpy as np
ssp = [1, 1, 1, 1, 0]

def epoch():
             asp = [1, 0]
             tr = 0
             for _ in range(100):
                 a = np.random.choice(asp)
                 s = np.random.choice(ssp)
                 if a == s:

ForteXX-2020

from pylab import plt, mpl
from sklearn.cluster import KMeans
from sklearn.datasets import make_blobs

x, y = make_blobs(n_samples=200, centers=5,
                          random_state=500, cluster_std=1.25)

model = KMeans(n_clusters=5, random_state=0)
model.fit(x)
KMeans(n_clusters=5, random_state=0)