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    Results for "model regularization"

    • Status: Free Trial
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      D

      DeepLearning.AI

      Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Machine Learning Algorithms, Analysis, Debugging, Application Frameworks

      4.9
      Rating, 4.9 out of 5 stars
      ·
      63K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Foundations of Generative AI Models

      Skills you'll gain: Generative AI, OpenAI, ChatGPT, Prompt Engineering, Large Language Modeling, Real Time Data, Deep Learning, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, PyTorch (Machine Learning Library), Emerging Technologies, Data Ethics, Natural Language Processing, Innovation

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Introduction to Predictive Modeling

      Skills you'll gain: Time Series Analysis and Forecasting, Predictive Modeling, Regression Analysis, Microsoft Excel, Forecasting, Pivot Tables And Charts, Data Transformation, Trend Analysis, Predictive Analytics, Data Cleansing, Statistical Methods, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      137 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Data Science Model Deployments and Cloud Computing on GCP

      Skills you'll gain: Docker (Software), CI/CD, Application Performance Management, Google App Engine

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning Operations with Vertex AI: Model Evaluation

      Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, System Monitoring, Google Cloud Platform, Data Quality, Machine Learning, A/B Testing, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      XML Practical - Document Object Model

      Skills you'll gain: Extensible Markup Language (XML), Extensible Languages and XML, Javascript, Document Management, Scripting

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Create Image Captioning Models

      Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      32 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      F

      Fractal Analytics

      Model Context Protocol (MCP) Mastery

      Skills you'll gain: Threat Modeling, Enterprise Architecture, Infrastructure Architecture, Application Security, Security Controls, Real Time Data, Generative AI Agents, Interoperability, Systems Architecture, Security Strategy, Agentic systems, Artificial Intelligence, Generative AI, Servers, Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Linear Regression and Modeling

      Skills you'll gain: Regression Analysis, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling, Anomaly Detection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      LLM Fine-Tuning and Customization Training

      Skills you'll gain: ChatGPT, Large Language Modeling, OpenAI, Supervised Learning, PyTorch (Machine Learning Library), Tensorflow, Reinforcement Learning

      Beginner · Course · 1 - 4 Weeks

    Searches related to model regularization

    mastering neural networks and model regularization
    1234…200

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

    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
    • Foundations of Generative AI Models: Simplilearn
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Introduction to Predictive Modeling: University of Minnesota
    • Data Science Model Deployments and Cloud Computing on GCP: Packt
    • Machine Learning Operations with Vertex AI: Model Evaluation: Google Cloud
    • XML Practical - Document Object Model: EDUCBA
    • Create Image Captioning Models: Google Cloud
    • Model Context Protocol (MCP) Mastery: Fractal Analytics
    • Probabilistic Graphical Models 1: Representation: Stanford University

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