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  • Regularization Techniques

Results for "regularization techniques"


  • Status: Free
    Free
    D

    DeepLearning.AI

    Quantization in Depth

    Skills you'll gain: PyTorch (Machine Learning Library), Dimensionality Reduction

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SAS

    Advanced SAS Programming Techniques

    Skills you'll gain: SAS (Software), Perl (Programming Language), Data Processing, Statistical Programming, Stored Procedure, Data Manipulation, Data Transformation, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    95 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Optical and X-Ray Characterization

    Skills you'll gain: Semiconductors, Analytical Testing, Laboratory Equipment, Materials science, Laboratory Testing, Analytical Chemistry, Laboratory Techniques

    4.8
    Rating, 4.8 out of 5 stars
    ·
    30 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Machine Learning Methods, Computer Vision, Control Systems, Data Integration, Mathematical Modeling, Spatial Analysis, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    838 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Technical Diagnostics and Troubleshooting Techniques

    Skills you'll gain: Desktop Support, Network Troubleshooting, Technical Support, Hardware Troubleshooting, System Support, Help Desk Support, Debugging, Microsoft Windows, Mac OS, Unix, Problem Management, Computer Hardware, Network Monitoring, Generative AI, Operating Systems, System Configuration, Software Installation, Technical Communication, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    141 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Orthogonality and Diagonalization

    Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Mathematical Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Machine Learning and its Applications

    5
    Rating, 5 out of 5 stars
    ·
    47 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning with PyTorch : Object Localization

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Applied Machine Learning, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Data Cleansing, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, NumPy, Pandas (Python Package), Box Plots, Histogram

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Techniques in Data Visualization

    Skills you'll gain: Data Visualization Software, Interactive Data Visualization, Geospatial Information and Technology, Color Theory, Tree Maps, Data Storytelling, Heat Maps, Data Mapping, Text Mining, Unstructured Data, Network Analysis

    Intermediate · Course · 1 - 3 Months

1…789…328

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

  • Quantization in Depth: DeepLearning.AI
  • Advanced SAS Programming Techniques: SAS
  • Optical and X-Ray Characterization: Arizona State University
  • State Estimation and Localization for Self-Driving Cars: University of Toronto
  • Technical Diagnostics and Troubleshooting Techniques: Microsoft
  • Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
  • Machine Learning and its Applications: University of Glasgow
  • Deep Learning with PyTorch : Object Localization: Coursera
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Linear Regression & Supervised Learning in Python: EDUCBA

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