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  • Hyperparameter Tuning

Hyperparameter Tuning Courses

Hyperparameter tuning courses can help you learn techniques for optimizing model performance, understanding overfitting and underfitting, and applying cross-validation methods. You can build skills in parameter selection, grid search, and random search strategies to enhance your machine learning projects. Many courses introduce tools like Scikit-learn, TensorFlow, and Keras, showing how to implement these tuning techniques effectively in artificial intelligence and AI applications.


Popular Hyperparameter Tuning Courses and Certifications


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    Coursera

    Playwright Power Techniques: Fast and Reliable Web Testing

    Skills you'll gain: Software Testing, Test Automation, Regression Testing, Continuous Integration, Performance Testing, CI/CD, Test Engineering, Browser Compatibility, Continuous Deployment, Continuous Delivery, Test Execution Engine, Debugging, Test Case, User Interface (UI), Scalability, Authentications

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Arizona State University

    Response Surfaces, Mixtures, and Model Building

    Skills you'll gain: Regression Analysis, Experimentation, Statistical Methods, Statistical Analysis, Statistical Modeling, Research Design, Statistical Software, Mathematical Modeling, Analysis, Data Analysis Software

    4.7
    Rating, 4.7 out of 5 stars
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    67 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Management, Virtual Machines

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Correlation Analysis, Probability Distribution, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
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    713 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Network Model, Object Oriented Programming (OOP), Computer Vision

    4.9
    Rating, 4.9 out of 5 stars
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    1.1K reviews

    Intermediate · Course · 1 - 3 Months

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    Edureka

    Generative Engine Optimization (GEO)

    Skills you'll gain: Content Performance Analysis, Google Gemini, Generative AI, Content Strategy, Earned Media, Content Marketing, ChatGPT, Google Analytics, Shared Media, Content Creation, Owned Media, Metadata Management, Market Intelligence, Copywriting, Information Architecture, Automation, No-Code Development

    Beginner · Specialization · 3 - 6 Months

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    Google Cloud

    Configuring Vector Search in Cloud SQL for PostgreSQL

    Skills you'll gain: PostgreSQL, Google Cloud Platform, Database Development, SQL, Database Design, Database Systems, Generative AI

    Beginner · Project · Less Than 2 Hours

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    Coursera

    Linear Regression with Python

    Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    437 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Microsoft

    Data Processing and Optimization with Generative AI

    Skills you'll gain: Data Ethics, Generative AI, Microsoft Copilot, Data Quality, Responsible AI, Data Cleansing, Data Processing, Data Synthesis, Data Transformation, Data Integrity, Feature Engineering, Data Validation, Personally Identifiable Information, Data Analysis

    3.6
    Rating, 3.6 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 3 Months

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    Genentech

    Data Science in Health Technology Assessment

    Skills you'll gain: Health Policy, Decision Support Systems, Data-Driven Decision-Making, Health Assessment, Analysis, Health Technology, Health Care, Value-Based Care, Pharmaceutical Terminology, Medical Terminology, Risk Analysis, Clinical Trials, Systems Of Measurement

    4.4
    Rating, 4.4 out of 5 stars
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    21 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Colorado System

    Applied Kalman Filtering

    Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Mathematical Modeling, Estimation, Matlab, Simulations, Advanced Mathematics, Engineering Analysis, Time Series Analysis and Forecasting, Global Positioning Systems, Probability & Statistics, Systems Of Measurement, Applied Mathematics, Statistical Methods, Probability Distribution, Predictive Analytics, Computational Thinking, Predictive Modeling, Control Systems

    4.9
    Rating, 4.9 out of 5 stars
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    26 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    LearnQuest

    Parameterized and Dynamic Testing in JUnit

    Skills you'll gain: JUnit, Unit Testing, Test Case, Test Data, Test Automation, Test Execution Engine, Software Testing

    4.4
    Rating, 4.4 out of 5 stars
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    17 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to hyperparameter tuning

hyperparameter tuning with keras tuner
improving deep neural networks: hyperparameter tuning, regularization and optimization
1…70717273

In summary, here are 10 of our most popular hyperparameter tuning courses

  • Playwright Power Techniques: Fast and Reliable Web Testing: Coursera
  • Response Surfaces, Mixtures, and Model Building: Arizona State University
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Fitting Statistical Models to Data with Python: University of Michigan
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Generative Engine Optimization (GEO): Edureka
  • Configuring Vector Search in Cloud SQL for PostgreSQL: Google Cloud
  • Linear Regression with Python: Coursera
  • Data Processing and Optimization with Generative AI: Microsoft
  • Data Science in Health Technology Assessment: Genentech

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