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  • Regularization Techniques

Results for "regularization techniques"


  • L

    L&T EduTech

    Mastering Concrete Techniques

    Skills you'll gain: Construction Engineering, Laboratory Testing, Construction, Construction Inspection, Production Process, Construction Management, Manufacturing Operations, Plant Operations and Management, Manufacturing Processes, Civil Engineering, Commercial Construction, Safety Assurance, Product Testing, Engineering Plans And Specifications, Materials science, Structural Engineering, Sustainable Engineering, Manufacturing Standards, Design Specifications, Analytical Testing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    22 reviews

    Advanced · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    PyTorch: Techniques and Ecosystem Tools

    Skills you'll gain: Transfer Learning, Embeddings, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Model Deployment

    5
    Rating, 5 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    Troubleshooting and Debugging Techniques

    Skills you'll gain: Debugging, Technical Communication, Network Troubleshooting, Performance Tuning, Problem Management, Technical Documentation, Technical Support, System Monitoring, Incident Management, Application Performance Management, Continuous Integration, Continuous Monitoring, Linux Commands

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction

    4.7
    Rating, 4.7 out of 5 stars
    ·
    63 reviews

    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

  • L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Dimensionality Reduction, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment

    Intermediate · Course · 1 - 3 Months

  • S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics

    Beginner · Course · 1 - 4 Weeks

  • 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

1…456…416

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

  • Mastering Concrete Techniques: L&T EduTech
  • PyTorch: Techniques and Ecosystem Tools: DeepLearning.AI
  • Troubleshooting and Debugging Techniques: Google
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • AI and Machine Learning Algorithms and Techniques: Microsoft
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Machine Learning Models in Science: LearnQuest
  • Machine Learning and its Applications: University of Glasgow
  • Matrix Calculus for Data Science & Machine Learning: Packt

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