Computing dot product

In this exercise, we will learn to compute the dot product between two vectors, A = (1, 3) and B = (-2, 2), using the numpy library. More specifically, we will use the np.dot() function to compute the dot product of two numpy arrays.

Deze oefening maakt deel uit van de cursus

Feature Engineering for NLP in Python

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Oefeninstructies

Initialize A (1,3) and B (-2,2) as numpy arrays using np.array().
Compute the dot product using np.dot() and passing A and B as arguments.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# Initialize numpy vectors
A = ____.____([____,____])
B = ____.____([____,____])

# Compute dot product
dot_prod = ____.____(____, ____)

# Print dot product
print(dot_prod)

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