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  • Regularization To Avoid Overfitting

Results for "regularization+to+avoid+overfitting"


  • U

    University of Minnesota

    Matrix Factorization and Advanced Techniques

    Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Unsupervised Learning, Linear Algebra

    ★ 4.4 (190) · Mixed · Course · 1 - 3 Months

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

    Coursera

    Solving ML Regression Problems with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Software, Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Amazon Web Services, Model Optimization, Regression Analysis, Data Analysis

    Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • P

    Packt

    Applied Machine Learning and Model Optimization

    Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Predictive Modeling, Model Training, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Data Transformation, Fine-tuning

    Advanced · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Minnesota

    Nearest Neighbor Collaborative Filtering

    Skills you'll gain: AI Personalization, Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Unsupervised Learning, Data Mining, Algorithms, Correlation Analysis

    ★ 4.3 (308) · Mixed · Course · 1 - 3 Months

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

    New York University

    MOST from a Methodological Perspective

    Skills you'll gain: Clinical Trials, Experimentation, Environment and Resource Management, Sample Size Determination, Research Design, Continuous Quality Improvement (CQI), Program Evaluation, Science and Research, Clinical Research, Statistical Methods, Research Methodologies, Statistical Analysis

    Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    컨볼루션 신경망

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Applied Machine Learning, Fine-tuning, Classification Algorithms, Network Architecture, Embeddings, Model Training

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Statistical Visualization, Data Preprocessing, Model Deployment, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, Predictive Analytics, Data Pipelines, Machine Learning Methods, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Повышение эффективности глубоких нейросетей

    Skills you'll gain: Tensorflow, Model Optimization, Deep Learning, Data Compilation, Model Training, Statistical Analysis, Artificial Neural Networks, Model Evaluation, Performance Tuning, Machine Learning, Algorithms, Debugging

    Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Model Optimization, Model Training, Artificial Neural Networks, Model Evaluation

    ★ 4.9 (1.1K) · Intermediate · Course · 1 - 3 Months

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

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment

    Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • P

    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Model Evaluation, Model Training, Model Optimization, Model Deployment, Data Preprocessing, AI Workflows, Fine-tuning, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

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

    Sungkyunkwan University

    Using R for Regression and Machine Learning in Investment

    Skills you'll gain: Portfolio Risk, Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, Machine Learning Methods, R Programming, Statistical Methods, Machine Learning, Statistical Programming, Statistical Analysis, Financial Analysis, Machine Learning Algorithms, R (Software), Applied Machine Learning, Risk Management, Logistic Regression, Financial Data

    ★ 4.8 (6) · Intermediate · Course · 1 - 4 Weeks

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

In summary, here are 10 of our most popular regularization+to+avoid+overfitting courses

  • Matrix Factorization and Advanced Techniques: University of Minnesota
  • Solving ML Regression Problems with AWS AutoGluon: Coursera
  • Applied Machine Learning and Model Optimization: Packt
  • Nearest Neighbor Collaborative Filtering: University of Minnesota
  • MOST from a Methodological Perspective: New York University
  • 컨볼루션 신경망: DeepLearning.AI
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Повышение эффективности глубоких нейросетей: DeepLearning.AI
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Matrix Calculus for Data Science & Machine Learning: Packt

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