vector multiplication in machine learning using python

# add vectors
from numpy import array
a = array([1, 2, 3])
print(a)
b = array([1, 2, 3])
print(b)
c = a + b
print(c)

[1 2 3]
[1 2 3]
[2 4 6]

In [2]:

print(type(c))

<class 'numpy.ndarray'>

In [3]:

d=array([4,5,6])
e=array([1,2,3])
f=d-e
print(f)

[3 3 3]

In [4]:

g=a/b
print(g)

[1. 1. 1.]

In [5]:

#vector multiplication
h=d*e
print(h)

[ 4 10 18]

In [6]:

# vector-scalar multiplication
from numpy import array
a = array([1, 2, 3])
print(a)
s = 0.5
print(s)
c = s * a
print(c)

[1 2 3]
0.5
[0.5 1.  1.5]

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