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  • Optimizing Machine Learning Model Performance

Results for "optimizing machine learning model performance"


  • C

    Coursera

    Optimizing Models for Production

    Skills you'll gain: Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Cross Platform Development, PyTorch (Machine Learning Library), Cloud Deployment, Applied Machine Learning, Application Performance Management, Development Environment, Hardware Architecture

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Model Training & Evaluation

    Skills you'll gain: Supervised Learning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize Vision Datasets: Augment and Analyze

    Skills you'll gain: Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Data Manipulation, Statistical Reporting

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate ML Pipelines for Peak Performance

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    ML: Build, Train, Justify Models

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Decision Tree Learning, Report Writing

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Debug Audio Models: Performance and Root Cause

    Skills you'll gain: Debugging, Model Evaluation, Root Cause Analysis, Data Preprocessing, Software Visualization, Exploratory Data Analysis, Analysis, Performance Tuning, Performance Analysis, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Validate, Analyze, and Monitor ML Models

    Intermediate · Course · 1 - 4 Weeks

  • 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, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Regression Analysis, Unsupervised Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimizing and Governing AI Systems

    Skills you'll gain: Responsible AI, Risking, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, AI Enablement, AI Product Strategy, System Monitoring, Model Evaluation, Performance Tuning, Compliance Management, Technology Roadmaps, Prompt Engineering, Machine Learning, Risk Management, Generative AI, Data-Driven Decision-Making, Performance Analysis, Statistical Analysis, Cross-Functional Collaboration

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Prompt Engineering, Cloud Deployment, Supervised Learning, Scikit Learn (Machine Learning Library), AI Workflows, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Deploying and Maintaining Production AI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Generative AI, Dependency Analysis, Dashboard, Application Deployment, Continuous Deployment, System Monitoring, Responsible AI, Performance Tuning, Site Reliability Engineering, Release Management, Kubernetes, Application Performance Management, CI/CD, Performance Analysis, Continuous Monitoring, Automation, Cloud Platforms, Data-Driven Decision-Making

    Intermediate · Course · 3 - 6 Months

1234…834

In summary, here are 10 of our most popular optimizing machine learning model performance courses

  • Optimizing Models for Production: Coursera
  • Model Training & Evaluation: Coursera
  • Optimize Vision Datasets: Augment and Analyze: Coursera
  • Automate ML Pipelines for Peak Performance: Coursera
  • ML: Build, Train, Justify Models: Coursera
  • Debug Audio Models: Performance and Root Cause: Coursera
  • Validate, Analyze, and Monitor ML Models: Coursera
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Optimizing and Governing AI Systems: Coursera
  • Build Predictive & Supervised Models: Coursera

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