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  • Structuring Machine Learning Projects

Results for "structuring machine learning projects"


  • Status: New
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    Status: Free Trial
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    Coursera

    Build & Optimize TensorFlow ML Workflows

    Skills you'll gain: Tensorflow, Model Optimization, Keras (Neural Network Library), Model Training, MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    Coursera

    Orchestrate, Analyze, and Evaluate ML Pipelines

    Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Service Level, AI Orchestration, Data Store, Data Transformation, Change Control, Key Performance Indicators (KPIs)

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Build Predictive & Supervised Models

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Deconstruct AI: Complex ML Problems

    Skills you'll gain: MLOps (Machine Learning Operations), Computational Thinking, Systems Design, Software Architecture, Data Processing, Process Modeling, Code Reusability, Solution Design, Diagram Design, Process Mapping, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Deploying and Debugging ML Microservices

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microservices, Containerization, Application Deployment, Service Level, Debugging, Unit Testing, Software Testing, System Monitoring, Continuous Deployment, Docker (Software), Software Architecture, Kubernetes, Software Design, Restful API, Systems Architecture, Cloud Computing Architecture, Application Performance Management, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Develop Production-Ready ML APIs with MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), AI Workflows, API Design, CI/CD, Software Quality Assurance, Code Review, Software Engineering, Software Versioning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Production AI Model Development and Ethics

    Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Model Optimization, Scikit Learn (Machine Learning Library), Data Preprocessing, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Pragmatic AI Labs

    Machine Learning with Databricks and MLflow

    Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Model Training, Data Quality, Model Deployment, Data Preprocessing, Application Lifecycle Management, Technical Management, Applied Machine Learning, Project Management, Machine Learning, Data Cleansing, Model Evaluation, Data Pipelines, Technical Design, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    368 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Packt

    Machine Learning Product Management - Strategy to Deployment

    Skills you'll gain: Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, AI Product Strategy, Product Management, Model Training, Product Lifecycle Management, Machine Learning Algorithms, Model Optimization, Applied Machine Learning, Decision Intelligence, Data Processing, Technical Product Management, Feature Engineering, Project Management, Machine Learning Methods, Machine Learning, Technical Management, Data Transformation

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Developing Machine Learning Solutions

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Model Training, Amazon Web Services, AI Workflows, Model Deployment, Machine Learning Methods, Machine Learning, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    116 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, AI Integrations, MLOps (Machine Learning Operations), Application Deployment, AI Workflows, Model Evaluation, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    260 reviews

    Intermediate · Course · 1 - 3 Months

1234…834

In summary, here are 10 of our most popular structuring machine learning projects courses

  • Build & Optimize TensorFlow ML Workflows: Coursera
  • Orchestrate, Analyze, and Evaluate ML Pipelines: Coursera
  • Build Predictive & Supervised Models: Coursera
  • Deconstruct AI: Complex ML Problems: Coursera
  • Deploying and Debugging ML Microservices: Coursera
  • Develop Production-Ready ML APIs with MLOps: Coursera
  • Production AI Model Development and Ethics: Coursera
  • Machine Learning with Databricks and MLflow: Pragmatic AI Labs
  • Managing Machine Learning Projects: Duke University
  • Machine Learning Product Management - Strategy to Deployment: Packt

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