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  • Regularization Techniques

Results for "regularization+techniques"


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, 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), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Statistical Analysis, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning, Regression Analysis

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    144 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Applied Machine Learning and Model Optimization

    Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Construction Techniques and Practices

    Skills you'll gain: Construction, Construction Inspection, Construction Management, Equipment Design, Construction Engineering, Construction Estimating, Product Lifecycle Management, Cost Estimation, Building Codes, Engineering Practices, Commercial Construction, Machine Controls, Plant Operations and Management, Structural Engineering, Environmental Engineering, Facility Management and Maintenance, Automation Engineering, Engineering Plans And Specifications, Architecture and Construction, Civil Engineering

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning and Advanced Techniques

    Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Application Frameworks, Model Evaluation, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Computer Science, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Image Segmentation, Filtering, and Region Analysis

    Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Digital Signal Processing, Spatial Data Analysis, Medical Imaging, Spatial Analysis, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    56 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Principles of fMRI 1

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Radiology, Research Design, Image Analysis, Experimentation, Neurology, Data Preprocessing, Science and Research, Statistical Analysis, Statistical Modeling, Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    850 reviews

    Beginner · 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
    ·
    458 reviews

    Intermediate · Course · 1 - 3 Months

1234…9

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

  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Foundations of Machine Learning: Coursera
  • Advanced Data Science Techniques (with AWS Integration): Coursera
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Applied Machine Learning and Model Optimization: Packt
  • Construction Techniques and Practices: L&T EduTech
  • Deep Learning and Advanced Techniques: Packt
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • Image Segmentation, Filtering, and Region Analysis: MathWorks

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