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  • Regularization Techniques

Results for "regularization techniques"


  • Status: Preview
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    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Linear Algebra, Statistical Machine Learning, Mathematics and Mathematical Modeling, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, General Mathematics, Machine Learning, Applied Mathematics, Statistical Inference, Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Regression Analysis

    Skills you'll gain: Regression Analysis, Supervised Learning, Statistical Analysis, Data Analysis, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Feature Engineering, Exploratory Data Analysis, Verification And Validation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    76 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Neural Network Techniques

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Machine Learning Methods, Data Ethics, Artificial Intelligence, Markov Model, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Decision Tree Learning, Performance Tuning, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnKartS

    Stress Management Techniques

    Skills you'll gain: Teamwork, Occupational Health, Self-Discipline

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Statistical Modeling, Data Transformation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    31K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    811 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Exploratory Data Analysis

    Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Statistical Visualization, Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Scatter Plots, Box Plots, Data Analysis, Histogram, Unsupervised Learning, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Feature Engineering, Supervised Learning, Applied Machine Learning, Machine Learning, Decision Tree Learning, Random Forest Algorithm, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Dimensionality Reduction, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Advanced Python Development Techniques

    Skills you'll gain: Data Structures, Generative AI, Test Driven Development (TDD), Integration Testing, Unit Testing, Python Programming, Object Oriented Programming (OOP), Cloud Applications, Serverless Computing, Cloud Computing, Microsoft Azure, Algorithms, Software Documentation, Maintainability, Code Review, Software Development, Software Design, Technical Documentation, Application Deployment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Cybersecurity Techniques

    Skills you'll gain: MITRE ATT&CK Framework, Open Web Application Security Project (OWASP), Penetration Testing, Exploitation techniques, Distributed Denial-Of-Service (DDoS) Attacks, Mobile Security, Cyber Security Assessment, Vulnerability Scanning, Cybersecurity, Network Security, Vulnerability Assessments, Web Applications, Wireless Networks, Encryption, Network Protocols, Authentications

    Intermediate · Course · 1 - 3 Months

1…456…328

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

  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Regression Analysis: University of Colorado Boulder
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • Advanced Neural Network Techniques: Johns Hopkins University
  • Advanced Machine Learning Algorithms: Fractal Analytics
  • Stress Management Techniques: LearnKartS
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Supervised Machine Learning: Regression: IBM
  • Exploratory Data Analysis: Johns Hopkins University
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University

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