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  • Maximum Likelihood Estimation

Results for "maximum+likelihood+estimation"


  • J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Statistical Methods, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics, Statistical Inference, Probability, Model Evaluation

    ★ 4.6 (108) · Advanced · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    Illinois Tech

    Variable Selection, Model Validation, Nonlinear Regression

    Skills you'll gain: Statistical Inference, Statistical Programming, Regression Analysis, Logistic Regression, Statistical Methods, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Predictive Modeling, Model Evaluation, Probability & Statistics, Statistical Hypothesis Testing, Probability Distribution

    ★ 4.6 (7) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Applied Machine Learning, Probability Distribution

    ★ 4.8 (1.3K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Model Optimization, Model Training, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado System

    Linear Kalman Filter Deep Dive (and Target Tracking)

    Skills you'll gain: Markov Model, Estimation, Mathematical Modeling, Correlation Analysis, Matlab, Linear Algebra, Predictive Analytics, Numerical Analysis, Applied Mathematics, Time Series Analysis and Forecasting, Probability Distribution, Statistical Inference, Probability & Statistics

    ★ 5 (6) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Advanced Probability and Statistical Methods

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Statistical Programming, Probability Distribution, Data Analysis, Statistical Software, Markov Model, Data Science, Statistical Modeling, Statistical Inference, Probability, Correlation Analysis, R Programming

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Multiple Regression Analysis in Public Health

    Skills you'll gain: Biostatistics, Regression Analysis, Logistic Regression, Statistical Methods, Public Health, Probability & Statistics, Statistical Analysis, Statistical Inference, Statistical Modeling, Predictive Modeling, Statistical Hypothesis Testing, Model Evaluation

    ★ 4.8 (328) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado System

    Particle Filters (and Navigation)

    Skills you'll gain: Bayesian Network, Numerical Analysis, Markov Model, Estimation, Simulations, Integral Calculus, Matlab, Mathematical Modeling, Applied Mathematics, Engineering Analysis, Algorithms

    ★ 4.8 (6) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Predictive Modeling, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution

    Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Visualization, Plot (Graphics), Python Programming, Applied Machine Learning, Model Optimization, Model Training, Data Processing, Pandas (Python Package), Data Wrangling, Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Data Manipulation

    ★ 4.8 (12) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Columbia University

    3D Reconstruction - Multiple Viewpoints

    Skills you'll gain: Image Analysis, Computer Graphics, Virtual Reality, Computer Vision, Linear Algebra

    ★ 4.6 (43) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, Mathematical Software, Machine Learning Methods, Data Transformation, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Image Analysis

    ★ 4.6 (2.3K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…567…9

In summary, here are 10 of our most popular maximum+likelihood+estimation courses

  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
  • Sample-based Learning Methods: University of Alberta
  • Automate, Optimize, and Monitor ML Models: Coursera
  • Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
  • Advanced Probability and Statistical Methods: Johns Hopkins University
  • Multiple Regression Analysis in Public Health : Johns Hopkins University
  • Particle Filters (and Navigation): University of Colorado System
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Machine Learning with Python: Build & Optimize: EDUCBA

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