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  • Regularization Techniques

Results for "regularization techniques"


  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    ★ 4.6 (19) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Mathematical Theory & Analysis, Probability, Probability & Statistics, Algorithms

    ★ 4.9 (937) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, Applied Mathematics, Jupyter, Data Science, Data Manipulation, Data Transformation, Machine Learning

    ★ 4.6 (13K) · Beginner · Course · 1 - 3 Months

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

    Johns Hopkins University

    Introduction to Reproducibility in Cancer Informatics

    Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, Code Reusability, GitHub, Scientific Methods, Software Documentation, Science and Research, Technical Documentation, Informatics, Software Versioning, R (Software), Data Analysis, Programming Principles, R Programming, Git (Version Control System), Integrated Development Environments

    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
  • H

    Howard University

    Building Regression Models with Linear Algebra

    Skills you'll gain: Regression Analysis, Predictive Modeling, Mathematical Modeling, Predictive Analytics, Statistical Modeling, Statistical Methods, Applied Mathematics, Linear Algebra, Small Data, Model Evaluation, Statistical Programming

    ★ 4.7 (6) · Beginner · Course · 1 - 4 Weeks

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

    SAS

    Modeling Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), SAS (Software), Forecasting, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Statistical Analysis, Statistical Methods, Data Analysis Software, Predictive Modeling, Statistical Modeling, Statistical Software, Bayesian Statistics, Model Evaluation

    Intermediate · Course · 1 - 3 Months

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

    Sungkyunkwan University

    Using R for Regression and Machine Learning in Investment

    Skills you'll gain: Portfolio Risk, Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Modeling, Risk Analysis, Investments, Machine Learning Methods, R Programming, Statistical Methods, Machine Learning, Advanced Analytics, Statistical Programming, Statistical Analysis, Financial Analysis, Machine Learning Algorithms, R (Software), Applied Machine Learning, Risk Management

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

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • 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 (430) · Intermediate · Course · 1 - 3 Months

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

    Korea Advanced Institute of Science and Technology(KAIST)

    MRI Fundamentals

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Quality, Digital Signal Processing, Medical Equipment and Technology

    ★ 4.5 (474) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Mathematical Modeling, Linear Algebra

    ★ 4.7 (839) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…449450451452

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

  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University
  • Foundations for Machine Learning: Dartmouth College
  • Building Regression Models with Linear Algebra: Howard University
  • Modeling Time Series and Sequential Data: SAS
  • Using R for Regression and Machine Learning in Investment: Sungkyunkwan University
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder

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