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  • Regularization Methods

Results for "regularization methods"


  • U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Statistical Analysis, Statistical Programming, Data Analysis, R (Software), Data Science, Data Ethics, Statistical Software, Statistical Methods, Regression Analysis, Predictive Modeling, Machine Learning, Logistic Regression, Probability & Statistics, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    ★ 4.2 (23) · Intermediate · Course · 1 - 4 Weeks

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

    Columbia University

    Computational Methods in Pricing and Model Calibration

    Skills you'll gain: Regression Analysis, Derivatives, Financial Market, Statistical Methods, Market Data, Financial Modeling, Securities (Finance), Mathematical Modeling, Numerical Analysis, Equities, Model Optimization, Python Programming, Algorithms, Case Studies

    ★ 4.4 (44) · Intermediate · Course · 1 - 3 Months

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

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Probability & Statistics, Statistical Methods, Classification Algorithms, Calculus

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Computational Thinking, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    ★ 4.9 (432) · Intermediate · Course · 1 - 3 Months

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

    University of Colorado Boulder

    Data Analysis with Python Project

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Data Mining, Predictive Modeling, Model Evaluation, Regression Analysis, Decision Tree Learning, Statistical Methods, Project Planning, Logistic Regression

    ★ 5 (7) · Intermediate · Course · 1 - 3 Months

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

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning Algorithms, Data Processing, Model Training, Model Optimization, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Machine Learning Software, Data Integration, Data Transformation, Classification Algorithms, Dimensionality Reduction

    ★ 3.7 (12) · Intermediate · Course · 1 - 4 Weeks

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

    University of Toronto

    Plant Bioinformatic Methods

    Skills you'll gain: Bioinformatics, Network Analysis, Laboratory Reports, Molecular Biology, Research Reports, Molecular, Cellular, and Microbiology, Biology, R (Software), Correlation Analysis, Informatics, Data Visualization Software, Biotechnology, Scientific Visualization, Network Model, Data Analysis Software, Data Synthesis, Life Sciences, Data Analysis, Microbiology, Analysis

    ★ 4.7 (2.1K) · Beginner · Specialization · 3 - 6 Months

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

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, Data Wrangling, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Model Training, Predictive Modeling, Machine Learning

    Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • E

    Erasmus University Rotterdam

    Econometrics: Methods and Applications

    Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Statistical Methods, Data Analysis, Economics, Trend Analysis, Statistical Analysis, Statistical Modeling, Statistics, Predictive Analytics, Case Studies, Forecasting, Statistical Inference, Estimation, Model Evaluation, Statistical Hypothesis Testing, Probability, Linear Algebra

    ★ 4.6 (1.2K) · Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Algorithms, Statistical Inference, Verification And Validation, Dimensionality Reduction

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Fundamental Neuroscience for Neuroimaging

    Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Radiology, Experimentation, Research Design, Laboratory Research, Image Analysis, Clinical Assessment, Hemodynamics, Medical Terminology

    ★ 4.7 (2.3K) · Beginner · Course · 1 - 4 Weeks

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

    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…567…336

In summary, here are 10 of our most popular regularization methods courses

  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
  • Computational Methods in Pricing and Model Calibration: Columbia University
  • Foundations for Machine Learning: Dartmouth College
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Data Analysis with Python Project : University of Colorado Boulder
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Plant Bioinformatic Methods: University of Toronto
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Econometrics: Methods and Applications: Erasmus University Rotterdam
  • Foundations of Statistical Learning & Algorithms: Northeastern University

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