Question: def gradient ( df , Y , emb _ user, emb _ movie ) : Computes the gradient of the mean squared

def gradient(df, Y, emb_user, emb_movie):
"""Computes the gradient of the mean squared error with respect to user and movie embeddings.
Arguments:
df: Dataframe with user ratings.
Y: Sparse representation of observed ratings.
emb_user: User embeddings.
emb_movie: Movie embeddings.
Returns:
d_emb_user: Gradient of the MSE with respect to user embeddings.
d_emb_movie: Gradient of the MSE with respect to movie embeddings.
"""

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