ShadowAether

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Bing, ChatGPT, etc.

This paper highlights an issue that many people don't think about. Fyi when trying to compare or reproduce results, always try to get the dataset from the same source as the original author and scale it in the same way. Unfortunately, many authors assume the scaling is obvious and don't include it but changes in scaling can lead to very different results.

Not OP. This question is being reposted to preserve technical content removed from elsewhere. Feel free to add your own answers/discussion.

I have two 2-D arrays with the same first axis dimensions. In python, I would like to convolve the two matrices along the second axis only. I would like to get C below without computing the convolution along the first axis as well.

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]

Is there a fast way?

Not OP. This question is being reposted to preserve technical content removed from elsewhere. Feel free to add your own answers/discussion.

Original question: Hello everyone!! I am a final year undergrad(electrical engineering) student who just dabbled in machine learning. During our 1 month training period, I chose to do a course in ML/AI and am now seeking to build a project, mainly on electrical energy consumption prediction. I came across this cool code/project(in the link), but cannot understand a word of it ;( Please if anyone of you could spare me some time and explain this code to me..I'll be grateful to you.

What project do you consider good for a beginner, that I can easily explain to others too?? Do you have any ideas?

See also: the phenomenon of double descent.

A nice visualization/example of the kernel trick. A more mathematical explanation can be found here.

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Original question: Autoencoders and auto-associative memory seem to be closely related. It appears the terminology changed, is there a difference between the two or did the wording simply change over time?

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Original question: Using interleaving half circles or circle inside another circle seem common for 2D, are there similar shapes people use for higher dimensions? Maybe a hypersphere inside a hypersphere? I was thinking of trying to do something more complicated than a bunch of blobs.

STAR-ML is a generalized tool that can assess the quality of the reporting of Machine Learning (ML) in research articles quickly and consistently. This new tool will allow for filtering ML-related papers that can be included in a systematic or scoping review by ensuring transparent, reproducible, and correct screening of research for inclusion in the review article. It can also be utilized as a guideline when drafting a new manuscript to improve the quality of ML technique reported.

We are currently conducting a study to validate STAR-ML in a larger population and are currently looking for individuals with varying degrees of experience.

To be able to participate in the study:

• You should be 18 years or older
• Have a basic idea of ML
• Have a Bachelor's degree or higher, or be currently enrolled in an undergraduate granting institution and
• Be able to read and understand English Please note that participation is voluntary. This web-based survey is anonymous and confidential. No one will be able to match identities to individual survey responses.

The survey will take approximately 50 to 60 minutes to complete. To thank you for your time and acknowledge your contribution to this collective effort, you will be able to be entered into a draw for one of the 10 $50 Gift cards at the end of the study.

Note: I am not personally involved with this study but am trying to help them get more participants

I found this book a very good reference when learning about autoencoders