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  • Regularization Methods

Results for "regularization methods"


  • U

    University of Pittsburgh

    Statistics and Calculus Methods for Data Analysis

    Skills you'll gain: Statistical Analysis, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Probability, Mathematical Modeling, Machine Learning, Algorithms

    Beginner · Course · 1 - 4 Weeks

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

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment

    Intermediate · Course · 1 - 3 Months

    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
  • 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
  • L

    LearnKartS

    Models, Methods, and Artifacts

    Skills you'll gain: Project Management, Team Performance Management, Leadership and Management, Project Management Institute (PMI) Methodology, Project Estimation, Management Training And Development, Team Management, Project Management Life Cycle, Project Implementation, Team Leadership, People Development, People Management, Project Performance, Leadership, Analysis, Document Management

    ★ 4.5 (58) · Advanced · Course · 1 - 4 Weeks

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

    Johns Hopkins University

    Neuroscience Methods

    Skills you'll gain: Research Design, Science and Research, Laboratory Research, Research Methodologies, Sensory Systems Analysis, Statistical Analysis, Psychological Evaluations, Data Analysis, Data Collection, Neurology, Psychology, Physiology, Image Analysis, Medical Imaging, Statistical Hypothesis Testing, Statistical Inference

    ★ 4.6 (8) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    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
  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, R (Software), Data Analysis

    ★ 4.5 (39) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • U

    University of London

    Understanding Research Methods

    Skills you'll gain: Research Methodologies, Research Design, Research, Science and Research, Qualitative Research, Social Impact, Writing, Ethical Standards And Conduct

    ★ 4.7 (8.9K) · Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    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
  • U

    University of Colorado System

    Nonlinear Kalman Filters (and Parameter Estimation)

    Skills you'll gain: Estimation, Applied Mathematics, Numerical Analysis, Mathematical Modeling, Control Systems, Mathematical Software, Simulation and Simulation Software, Model Evaluation, Derivatives, System Implementation, Calculus

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation

    ★ 4.6 (14) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…678…336

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

  • Statistics and Calculus Methods for Data Analysis: University of Pittsburgh
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Plant Bioinformatic Methods: University of Toronto
  • Foundations for Machine Learning: Dartmouth College
  • Models, Methods, and Artifacts: LearnKartS
  • Neuroscience Methods: Johns Hopkins University
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Understanding Research Methods: University of London
  • 3D Reconstruction - Multiple Viewpoints: Columbia University

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