Parameter Estimation Courses and Certifications

UofU Data Science

Linear Regression and Parameter Estimation in R - Lecture 17

Master linear regression techniques in R while exploring parameter estimation and random variable estimators through hands-on statistical analysis and practical applications.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

UofU Data Science

Hidden Markov Models: Parameter Estimation, Inference, and Viterbi Algorithm

Master parameter estimation and inference in Hidden Markov Models (HMM), including Viterbi algorithm implementation for sequence analysis and probabilistic modeling.

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

Dublin Institute for Advanced Studies DIAS

Metrological Symmetries in Singular Quantum Multi-Parameter Estimation

Explore quantum sensing foundations through Cramér-Rao formalism, examining singularities in quantum Fisher information matrices and metrological symmetries in multi-parameter estimation.

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

International Centre for Theoretical Sciences

Parameter Estimation for Differential Equations Using Observers

Explore parameter estimation techniques for differential equations through observer-based methods in this advanced mathematical modeling session.

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

Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

Parameter Estimation Using the Emitted Light of a Collective Atomic System

Explore parameter estimation techniques using emitted light from collective atomic systems, focusing on interdisciplinary physics applications.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

The Julia Programming Language

ParameterEstimation.jl - Algebraic Parameter Estimation in ODEs

Discover algebraic parameter estimation in ODEs using ParameterEstimation.jl, replacing optimization with algebraic systems and Gaussian Process Regression for noise robustness.

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

Curve Fitting with SciPy

Explore SciPy's curve fitting capabilities to model data effectively, mastering essential functions, algorithms, and techniques for precise data analysis in Python.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

statisticsmatt

Parameter Estimation

Explore various parameter estimation methods, their optimality properties, and key statistical concepts like sufficient statistics, Bayesian estimation, and Fisher's information.

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

Computational Probability and Inference

3 reviews

Learn fundamentals of probabilistic analysis and inference. Build computer programs that reason with uncertainty and make predictions. Tackle machine learning problems, from recommending movies to spam filtering to robot navigation.

• edX
• 12 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Probabilistic Graphical Models 3: Learning

304 ratings at Coursera

Learn to build probabilistic graphical models from data, covering parameter estimation, structure learning, and handling incomplete data. Explore advanced techniques for both directed and undirected models.

• Coursera
• 66 hours
• On-Demand
• Paid Course

误差理论与测量平差基础

Master error theory and measurement adjustment fundamentals for surveying and mapping, covering optimal estimation, adjustment models, and dynamic measurement systems with practical applications in GNSS, photogrammetry, and engineering.

• XuetangX
• On-Demand
• Free Online Course

R Programming for Simulation and Monte Carlo Methods

465 ratings at Udemy

Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software.

• Udemy
• 11 hours 42 minutes
• On-Demand
• Paid Course

Observation Theory: Estimating the Unknown

1 review

Learn how to estimate parameters from observational data for real-world engineering applications and assess the quality of the results.

• edX
• 6 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Optimization and State Estimation Fundamentals

237 ratings at Udemy

Learn optimization fundamentals and state estimation techniques with this practical course!

• Udemy
• 4 hours 36 minutes
• On-Demand
• Paid Course

Microcredential

Applied Kalman Filtering

34 ratings at Coursera

Derive, design, and implement Kalman-filter solutions for engineering problems. Develop linear and nonlinear Kalman filters and particle filters in Octave, enhancing state estimation skills.

• Coursera
• 16 weeks, 5 hours a week
• On-Demand
• Paid Course
• 4 courses