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  • Regularization Techniques

Results for "regularization+techniques"


  • Status: Preview
    Preview
    L

    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Engineering Calculations, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    390 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    821 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    E

    EDUCBA

    Regression & Forecasting for Data Scientists using Python

    Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
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    43 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
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    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization

    4.7
    Rating, 4.7 out of 5 stars
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    417 reviews

    Mixed · Course · 1 - 4 Weeks

  • 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
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    468 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modelling: Techniques of Integration

    Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Geometry, Mathematical Modeling

    4.7
    Rating, 4.7 out of 5 stars
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    54 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Health Informatics, Unsupervised Learning, Model Evaluation, Medical Imaging, Python Programming, Dimensionality Reduction

    3.9
    Rating, 3.9 out of 5 stars
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    15 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Advanced Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Applied Machine Learning, Generative Adversarial Networks (GANs), Healthcare Project Management, Machine Learning Methods, Image Analysis, Graph Theory, Artificial Neural Networks, Convolutional Neural Networks, Health Informatics, Autoencoders, Recurrent Neural Networks (RNNs), Predictive Modeling, Unsupervised Learning, Python Programming

    3.6
    Rating, 3.6 out of 5 stars
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    15 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Machine Learning, Machine Learning Algorithms, Classification Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    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
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    66 reviews

    Mixed · Course · 1 - 3 Months

1…456…9

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

  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
  • Supervised Machine Learning: Regression: IBM
  • Regression & Forecasting for Data Scientists using Python: EDUCBA
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • MRI Fundamentals: Korea Advanced Institute of Science and Technology(KAIST)
  • Calculus through Data & Modelling: Techniques of Integration: Johns Hopkins University
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
  • Advanced Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign

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