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  • Regularization Techniques

Results for "regularization+techniques"


  • N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Model Evaluation, Machine Learning Algorithms, Model Optimization, Machine Learning Methods, Random Forest Algorithm, Advanced Analytics, Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Preprocessing, Fine-tuning, Performance Tuning

    ★ 3.8 (12) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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, Health Informatics, Medical Science and Research, Unsupervised Learning, Medical Imaging, Dimensionality Reduction, Network Architecture

    ★ 3.9 (15) · Advanced · Course · 1 - 4 Weeks

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

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Model Training, Machine Learning, Data Analysis

    ★ 4.8 (11) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra

    Intermediate · Course · 1 - 3 Months

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

    EDUCBA

    Linear Regression with R: Build & Optimize

    Skills you'll gain: Model Evaluation, Regression Analysis, Statistical Methods, Model Training, Data Visualization, Statistical Modeling, Plot (Graphics), Feature Engineering, Model Optimization, Predictive Modeling, Data Analysis, R Programming, Supervised Learning, Correlation Analysis, Probability & Statistics, Verification And Validation

    Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    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
  • 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, Machine Learning Methods, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Model Optimization, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Time Series Data Visualization And Analysis Techniques

    Skills you'll gain: Time Series Analysis and Forecasting, Data Visualization, Statistical Visualization, Plot (Graphics), Data Preprocessing, Box Plots, Anomaly Detection, Plotly, Exploratory Data Analysis, Data Processing, Descriptive Analytics, Python Programming

    ★ 4.5 (19) · Intermediate · Guided Project · Less Than 2 Hours

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

    Arizona State University

    Optical and X-Ray Characterization

    Skills you'll gain: Semiconductors, Engineering, Scientific, and Technical Instruments, Analytical Testing, Laboratory Equipment, Materials science, Laboratory Testing, Analytical Chemistry, Structural Analysis, Laboratory Techniques

    ★ 4.8 (32) · Intermediate · Course · 1 - 3 Months

    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
  • N

    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Autoencoders, Model Training, Model Optimization, Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Simulation and Simulation Software, Computer Vision, Simulations, 3D Assets, 3D Modeling

    Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
1…6789

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

  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Advanced Machine Learning Algorithms: Fractal Analytics
  • Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • Linear Regression with R: Build & Optimize: EDUCBA
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Time Series Data Visualization And Analysis Techniques : Coursera
  • Optical and X-Ray Characterization: Arizona State University

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