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15
Math.TechQA.Club
2021-08-31 01:49:10
82
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What are some functions $\mathbb{R}^+ \to \mathbb{R}$ other than $\log$?
Published on
31 Aug 2021 - 1:49
#real-analysis
#general-topology
#analysis
#statistics
#machine-learning
68
Views
F1-score giving good value on imbalanced dataset.
Published on
30 Mar 2026 - 18:05
#machine-learning
#data-analysis
123
Views
Dimension reduction using space filling curve to avoid "Curse of dimensionality"?
Published on
26 Mar 2026 - 6:21
#real-analysis
#general-topology
#manifolds
#machine-learning
#data-structure
162
Views
Minimization of sphere in 3D with two linear constraints
Published on
10 Apr 2026 - 3:23
#linear-algebra
#optimization
#machine-learning
42
Views
Where should I seek for help if I can't understand the math steps in machine learning?
Published on
03 Apr 2026 - 19:02
#machine-learning
#computational-mathematics
72
Views
Questions about normal equations (Deep Learning Book equation 5.12)
Published on
11 Apr 2026 - 8:30
#machine-learning
#linear-regression
106
Views
Backward propagation math: where does -1 come from?
Published on
28 Mar 2026 - 16:14
#vector-analysis
#matrix-calculus
#machine-learning
#neural-networks
32
Views
Correct Mean Squared Error Function for Neural Network Output
Published on
26 Mar 2026 - 17:27
#calculus
#vectors
#machine-learning
#error-propagation
#mean-square-error
323
Views
Linear Regression: Correlation between predictors and residuals
Published on
11 Apr 2026 - 4:42
#probability
#statistics
#machine-learning
#linear-regression
#data-analysis
384
Views
Multidimensional generalisation of sigmoid function?
Published on
24 Feb 2026 - 13:42
#machine-learning
#lipschitz-functions
#optimal-transport
79
Views
Theoretical Machine Learning: How to get the Lipschitz constant and strong convexity constant from strict convex problems to calculate hyperparameters
Published on
11 Apr 2026 - 7:48
#convex-analysis
#machine-learning
30
Views
Backpropagation through time - Gradient Calculation
Published on
28 Mar 2026 - 16:12
#vector-analysis
#machine-learning
#gradient-descent
#neural-networks
41
Views
Theoretical Machine Learning: How to calculate the expected risk of a model with unknown distribution $\hat{h}$?
Published on
13 Sep 2021 - 15:56
#statistics
#inner-products
#machine-learning
72
Views
Derivative of a norm of the vector valued function: $ \nabla_{\beta} \| f(X \beta)\|_{2}^{2}$
Published on
14 Sep 2021 - 17:27
#vector-analysis
#matrix-calculus
#machine-learning
66
Views
dependent data in Reinforcement learning
Published on
11 Apr 2026 - 5:03
#machine-learning
#markov-process
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