SenatorovAI | Школа Data Science Руслана Сенаторова
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VKR_COLD
PublicKinozal_VKR
Publicintro
Public- Темы из математики, которые нужны в Data Science: статистика, вероятность, линейная алгебра, математический анализ, оптимизация и метрики ML. Roadmap по математ…
VKR_Rad
PublicGreen_light
PublicData-Science-For-Beginners-from-scratch-course
Public templateData science for beginners involves learning to extract insights from data using statistics, programming (Python/R), and visualization. Key steps include data c…MVP_mobile
PublicVKR_Mag_Dis
PublicOpenSCAD
Public- Школа Data Science SenatorovAI. Bootcamp. School.
Pockemon_Java
Publicelectrical_equipment
PublicOpenstudio
Public- QR decomposition, or QR factorization, is a fundamental linear algebra method that decomposes a matrix into a product of an orthogonal matrix and an upper trian…
- The SAG (Stochastic Average Gradient) + SAGA (Accelerated) solver is an optimization algorithm used primarily in machine learning, specifically for logistic reg…
- L2 regularization, or Ridge regression, is a technique to prevent overfitting in machine learning by adding a penalty proportional to the sum of squared weights…
- Underfitting and overfitting are critical concepts in machine learning, particularly when using Polynomial Regression to model data. Polynomial regression allow…
LSQR-solver-course
PublicLSQR is an iterative method for solving large, sparse, linear systems of equations and linear least-squares problems, including under- or over-determined and ra…- The Conjugate Gradient (CG) method is an efficient iterative algorithm for solving large, sparse systems of linear equations where the matrix is symmetric and p…
- Cholesky decomposition is a matrix factorization method that decomposes a symmetric, positive-definite matrix into the product of a lower triangular matrix and …
- Singular Value Decomposition (SVD) is a fundamental linear algebra technique that factorizes any into the product of three matrices: are orthogonal matrices co…
- Multiple Linear Regression (MLR) models the linear relationship between a continuous dependent variable and two or more independent (explanatory) variables. Usi…
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