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.
Questo esercizio fa parte del corso
Feature Engineering for NLP in Python
Istruzioni dell'esercizio
- Initialize
A(1,3) andB(-2,2) asnumpyarrays usingnp.array(). - Compute the dot product using
np.dot()and passingAandBas arguments.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Initialize numpy vectors
A = ____.____([____,____])
B = ____.____([____,____])
# Compute dot product
dot_prod = ____.____(____, ____)
# Print dot product
print(dot_prod)