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  • Regularization Techniques

Results for "regularization techniques"


  • 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, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra

    Mixed · Course · 1 - 4 Weeks

  • M

    Microsoft

    Intermediate C++ Programming Techniques

    Skills you'll gain: C++ (Programming Language), API Design, Software Architecture, Software Design, Maintainability, Data Structures, Generative AI Agents, Data Validation, Performance Tuning, Secure Coding, Verification And Validation, Algorithms, Debugging

    Beginner · Course · 1 - 3 Months

  • F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Model Evaluation, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Supervised Learning, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Regression Analysis, Performance Tuning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • S

    Starweaver

    Threat Hunting Techniques

    Skills you'll gain: Cyber Threat Hunting, Splunk, Threat Detection, Jupyter, Anomaly Detection, Cybersecurity, Data Analysis, Data Science, Applied Machine Learning, Security Information and Event Management (SIEM), Pandas (Python Package), Interactive Data Visualization, Data Cleansing, Data Preprocessing, MLOps (Machine Learning Operations), Unsupervised Learning, Automation

    Intermediate · Course · 1 - 3 Months

  • L

    LearnKartS

    Stress Management Techniques

    Skills you'll gain: Stress Management, Resilience, Personal Development, Professional Development, Workforce Development, Workforce Management, Mental Health

    4.7
    Rating, 4.7 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression

    Intermediate · Course · 1 - 3 Months

  • U

    University of Glasgow

    Machine Learning and its Applications

    Skills you'll gain: Data Preprocessing, Model Evaluation, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    5
    Rating, 5 out of 5 stars
    ·
    47 reviews

    Beginner · Course · 1 - 3 Months

  • 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, Algebra, Mathematical Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    46 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    839 reviews

    Advanced · Course · 1 - 3 Months

  • I

    Imperial College London

    Creative Thinking: Techniques and Tools for Success

    Skills you'll gain: Creative Thinking, Brainstorming, Ideation, Creativity, Cognitive flexibility, Problem Solving, Collaboration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.2K reviews

    Beginner · Course · 1 - 3 Months

1…567…421

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

  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Intermediate C++ Programming Techniques: Microsoft
  • Advanced Machine Learning Algorithms: Fractal Analytics
  • Threat Hunting Techniques: Starweaver
  • Stress Management Techniques: LearnKartS
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Machine Learning and its Applications: University of Glasgow
  • Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University

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