Least Squares Courses and Certifications

Regression Models

33 reviews

Explore linear and generalized regression models, covering least squares, multivariable analysis, diagnostics, and applications in data science. Learn to interpret results and select appropriate models.

• Coursera
• 54 hours
• On-Demand
• Free Online Course (Audit)

Advanced Linear Models for Data Science 2: Statistical Linear Models

96 ratings at Coursera

Explore advanced linear algebra and statistical concepts for regression modeling, enhancing your understanding of least squares, multivariate distributions, and residual analysis.

• Coursera
• 5 hours 40 minutes
• On-Demand
• Free Online Course (Audit)

Undergraduate Econometrics

1 review

Comprehensive exploration of econometrics, from basic concepts to advanced regression analysis, emphasizing estimator properties, hypothesis testing, and time series analysis.

• YouTube
• 18 hours
• On-Demand
• Free Video

IIT Madras;  NPTEL

Optimization Theory and Algorithms

Explore optimization theory and algorithms for engineering problems, covering unconstrained and constrained optimization, contemporary algorithms, and practical applications through programming assignments.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

statisticsmatt

Fourier Series

Explore advanced mathematical concepts including Fourier series, orthogonal bases, and convergence theorems. Gain deep insights into complex analysis and integration techniques.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

Orthogonality

Explora conjuntos ortogonales, proyecciones, desigualdad de Cauchy-Schwarz, proceso de Gram-Schmidt, descomposición QR, regresión lineal, espacios de producto interno, polinomios de Legendre y series de Fourier.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

MITCBMM

Statistical Learning Theory and Applications - Class 7

Explore statistical learning theory, covering least squares, gradient descent, regularization, and induction, with insights into historical context and practical applications.

• YouTube
• 1 hour 27 minutes
• On-Demand
• Free Video

StatQuest with Josh Starmer

Gradient Descent, Step-by-Step

Comprehensive step-by-step explanation of Gradient Descent, covering its application in Machine Learning, optimization techniques, and variations like Stochastic Gradient Descent.

• YouTube
• 24 minutes
• On-Demand
• Free Video

StatQuest with Josh Starmer

Linear Regression, Clearly Explained

Clear explanation of linear regression concepts, including least squares, R-squared, multivariable models, p-values, and F-distribution. Ideal for beginners seeking a solid foundation in statistical analysis.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Georgia Tech Research

Sharp Oracle Inequalities for Non-Convex Loss - Lecture 1

Explore sharp oracle inequalities for non-convex loss in M-estimation, focusing on regularization techniques and sparsity-inducing penalties like the l₁-penalty in Lasso.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Kurdyka-Łojasiewicz Exponent for Hadamard-Difference-Parameterized Models

Explore Kurdyka-Łojasiewicz exponents in L1-regularized optimization, focusing on Hadamard difference parametrization and its impact on local convergence rates of gradient methods.

• YouTube
• 23 minutes
• On-Demand
• Free Video

BIMSA

Geometric Analysis of Phase Retrieval

Explore geometric analysis of phase retrieval, examining nonconvex heuristics and proving benign geometric structure for efficient signal recovery using iterative optimization methods.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Wrath of Math

Least Squares Solutions and Deriving the Normal Equation - Linear Algebra

Explore least squares solutions, deriving the normal equation for inconsistent systems. Learn best approximation theorem, its application in R^n, and solve examples with unique and infinite solutions.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Beijing Jiaotong University

最优化理论与算法

掌握优化理论核心概念和算法，从无约束优化到约束优化，通过数值实验和编程培养数学建模与数据分析能力，着重学习各类经典优化算法的应用。

• XuetangX
• On-Demand
• Free Online Course

Amazon Web Services;  Amazon

Linear and Logistic Regression (German)

Learn to create machine learning predictions with AWS's course on linear models, least squares, regularization, logistic regression, and gradient-based optimization. (German subtitles)

• AWS Skill Builder
• 8-9 hours
• Finished
• Free Certificate