codesnips

numpy

python 
import numpy as np

features = np.array([
    [120.0, 3.0, 10.0],
    [90.0, 5.0, 7.0],
    [150.0, 2.0, 14.0],

NumPy broadcasting for vectorized feature engineering

numpy broadcasting vectorization
by Dr. Elena Vasquez 1 tab
python 
import numpy as np

embeddings = np.array([
    [0.9, 0.1, 0.2],
    [0.1, 0.8, 0.3],
    [0.7, 0.2, 0.4],

Linear algebra patterns for similarity and projection tasks

numpy linear-algebra embeddings
by Dr. Elena Vasquez 1 tab