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  • Regularization Methods

Results for "regularization methods"


  • Status: New
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    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Artificial Neural Networks, Bayesian Statistics, Statistical Machine Learning, Machine Learning Methods, Probability & Statistics, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Modeling, Machine Learning Algorithms, Statistical Methods, Deep Learning, Regression Analysis, Statistical Inference, Artificial Intelligence

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
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    S

    SkillUp

    Machine Learning for Medical Data

    Skills you'll gain: Machine Learning Methods, Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Clinical Informatics, Statistical Machine Learning, Predictive Modeling, Electronic Medical Record System, Machine Learning Algorithms, Data Mining, Data Processing, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Machine Learning Methods, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
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    D

    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Statistical Machine Learning, Predictive Modeling, Regression Analysis, Machine Learning, Statistical Modeling, Statistical Methods, Probability & Statistics, Bayesian Statistics

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: New
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    D

    Dartmouth College

    Foundations for Machine Learning

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Data Analytics Methods for Marketing

    Skills you'll gain: Marketing Analytics, Marketing Effectiveness, A/B Testing, Target Audience, Marketing Strategies, Marketing, Marketing Planning, Sales Pipelines, Customer Analysis, Marketing Channel, Advertising Campaigns, Regression Analysis, Forecasting, Data Analysis, Unsupervised Learning, Key Performance Indicators (KPIs), Return On Investment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    283 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    E

    EDUCBA

    Linear Regression with R: Build & Optimize

    Skills you'll gain: Regression Analysis, Statistical Methods, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Validation, Data Analysis, R Programming, Supervised Learning, Statistical Hypothesis Testing

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
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    C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Regression Models

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Correlation Analysis, Data Analysis, Statistical Methods, Predictive Modeling, Probability & Statistics, Statistical Inference

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    400 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Machine Learning for Medical Data : SkillUp
  • Mathematics for Machine Learning: Imperial College London
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • Machine Learning Fundamentals: Dartmouth College
  • Foundations for Machine Learning: Dartmouth College
  • Data Analytics Methods for Marketing: Meta
  • Linear Regression with R: Build & Optimize: EDUCBA
  • Foundations of Machine Learning: Coursera

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