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  • Regularization Techniques


Results for "regularization+techniques"


  • Status: Preview
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    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
    Rating, 4.5 out of 5 stars
    ·
    465 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Fundamental Neuroscience for Neuroimaging

    Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Radiology, X-Ray Computed Tomography, Experimentation, Research Design, Biomedical Technology, Image Analysis, Physiology, Medical Terminology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    T

    Technical University of Denmark (DTU)

    Introduction to advanced tomography

    Skills you'll gain: Jupyter, Medical Imaging, 3D Modeling, Image Analysis, Engineering Analysis, Finite Element Methods, Numerical Analysis, Mathematical Modeling, Materials science, Simulation and Simulation Software, Digital Signal Processing, Python Programming, Applied Mathematics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    66 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Machine Learning Techniques

    Skills you'll gain: Transfer Learning, Data Preprocessing, Hugging Face, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Exploratory Data Analysis, SAS (Software), Statistical Programming, Predictive Modeling, Model Evaluation, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    274 reviews

    Mixed · Course · 1 - 4 Weeks

  • 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, Graphing, Data Analysis, Statistical Analysis, Unsupervised Learning

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

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    446 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Approximation Methods

    Skills you'll gain: Numerical Analysis, Applied Mathematics, Mathematical Modeling, Differential Equations, Physics

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    S

    Simplilearn

    Introduction to Linear Regression Training

    Skills you'll gain: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Supervised Learning, Forecasting, Case Studies, Business Analytics, Statistical Modeling

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

1…456…9

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

  • MRI Fundamentals: Korea Advanced Institute of Science and Technology(KAIST)
  • Fundamental Neuroscience for Neuroimaging: Johns Hopkins University
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Introduction to advanced tomography: Technical University of Denmark (DTU)
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Advanced Machine Learning Techniques: Coursera
  • Regression Modeling in Practice: Wesleyan University
  • Exploratory Data Analysis: Johns Hopkins University
  • Supervised Machine Learning: Classification: IBM
  • Approximation Methods: University of Colorado Boulder

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