Sirine Amrane
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Sirine Amrane
@sirineamrane.bsky.social
13 followers 45 following 7 posts
Topics : cyberdefense, advanced threats, offensive security
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New research: AR(1) models w/ time-varying parameters enable smooth transitions between stationary & nonstationary periods. Local least squares regression provides robust estimation & proper confidence intervals across both cases. https://buff.ly/4hU2V8N
February 17, 2025 at 2:00 PM
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sirineamrane.medium.com/what-is-whit...
what is white noise in stationary time series ? part 1: introduction
white noise is unique among time series because it is completely random and lacks any structure. unlike other time series that may exhibit…
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February 19, 2025 at 4:24 PM
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sirineamrane.medium.com/activation-f...
activation functions, part 3 : linear and softplus for regression output layer in dl
in deep learning, choosing the right activation function for regression is essential. the linear activation is the standard choice as it
sirineamrane.medium.com
February 19, 2025 at 4:23 PM
sirineamrane.bsky.social
sirineamrane.medium.com/loss-functio...
loss functions in ml and dl, part 1 : huber loss, quantile loss, tweedie loss, log-cosh loss
in regression models, the choice of the loss function directly influences the stability and accuracy of predictions. a poor selection can…
sirineamrane.medium.com
February 19, 2025 at 4:23 PM
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sirineamrane.medium.com/data-leakage...
data leakage in AI : understanding, detecting and fixing
data leakage occurs when a model accesses information it should not see during training. this skews its performance, making it overly…
sirineamrane.medium.com
February 19, 2025 at 4:23 PM
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sirineamrane.medium.com/is-your-data...
is your data lying to you? how to detect hidden non-linearity
hey data folks! are you sure your data is linear? think again…
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February 19, 2025 at 4:22 PM
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sirineamrane.medium.com/merge-your-d...
merge your datasets like a BOSS
heeey data folks ! if you’ve ever worked with data tables, you’ve probably encountered…
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February 19, 2025 at 4:22 PM