Learn Machine Learning

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Welcome! This is a place for people to learn more about machine learning techniques, discuss applications and ask questions.

Example questions:

• "Should I use a deep neural network for my audio classification task?"
• "I'm working with a small dataset, what can I do to make my model generalize well?"
• "Is there a library available that implements function X in language Y?"
• "I want to learn more about the math behind machine learning technique A, where should I start?"

Please do:

• Be kind to new people
• Post guides and tutorials that you find helpful
• Link to open/free sources instead of paywalled when possible

Please don't:

• Post news articles / memes (there are other machine learning/AI communities for this)

Other communities in this area:

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• [email protected]

Similar subreddits: r/MLquestions, r/askmachinelearning, r/learnmachinelearning

MODERATORS

import numpy as np
import scipy.signal as sg

M, N, P = 4, 10, 20
A = np.random.randn(M, N)
B = np.random.randn(M, P)

C = sg.convolve(A, B, 'full')[(2*M-1)/2]