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  • Regularization Techniques

Results for "regularization+techniques"


  • 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 (54) · Intermediate · Course · 1 - 4 Weeks

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

    University of Colorado Boulder

    Data Analysis with Python Project

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Data Mining, Predictive Modeling, Model Evaluation, Regression Analysis, Decision Tree Learning, Statistical Methods, Project Planning, Logistic Regression

    ★ 5 (7) · Intermediate · Course · 1 - 3 Months

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

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm

    Beginner · 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
  • J

    Johns Hopkins University

    Neuroscience Methods

    Skills you'll gain: Research Design, Science and Research, Laboratory Research, Research Methodologies, Sensory Systems Analysis, Statistical Analysis, Psychological Evaluations, Data Analysis, Data Collection, Neurology, Psychology, Physiology, Image Analysis, Medical Imaging, Statistical Hypothesis Testing, Statistical Inference

    ★ 4.6 (8) · Intermediate · Course · 1 - 3 Months

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

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization

    Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Approximation Methods

    Skills you'll gain: Estimation, Numerical Analysis, Applied Mathematics, Electrical Engineering, Mathematical Modeling, Linear Algebra, Differential Equations, Physics, Probability

    ★ 4.4 (14) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • É

    École normale supérieure

    Approximation Algorithms Part II

    Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Operations Research, Graph Theory, Applied Mathematics, Model Optimization, Advanced Mathematics, Linear Algebra, Mathematical Modeling, Network Model, Probability, Probability & Statistics

    ★ 4.8 (46) · Mixed · Course · 1 - 4 Weeks

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Statistical Methods, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Predictive Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    ★ 4.5 (191) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    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
  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis

    ★ 4.9 (8) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    PyTorch: Techniques and Ecosystem Tools

    Skills you'll gain: Hugging Face, Model Optimization, Fine-tuning, Transfer Learning, Model Training, Embeddings, Data Preprocessing

    ★ 5 (15) · Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…6789

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

  • Calculus through Data & Modelling: Techniques of Integration: Johns Hopkins University
  • Data Analysis with Python Project : University of Colorado Boulder
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Neuroscience Methods: Johns Hopkins University
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Approximation Methods: University of Colorado Boulder
  • Approximation Algorithms Part II: École normale supérieure
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • Advanced ML Algorithms & Unsupervised Learning: Packt

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