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  • Ml Pipelines

Results for "ml pipelines"


  • Status: New
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    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Data Management, Data Pipelines, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

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    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Jenkins, Applied Machine Learning, CI/CD, Java, Continuous Deployment, Java Programming, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management, Continuous Monitoring, Enterprise Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    ML Algorithms

    Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Text Mining, Time Series Analysis and Forecasting, Supervised Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART)

    3.4
    Rating, 3.4 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

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    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Applied Machine Learning, Data Processing, Regression Analysis, Machine Learning, Supervised Learning, Feature Engineering, Data Cleansing, Continuous Deployment, Unsupervised Learning

    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, Data Quality, Technical Management, Applied Machine Learning, Project Management, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technical Design, Technology Solutions, Systems Design, Data Collection, Data Science, Systems Architecture, Feature Engineering, System Monitoring

    4.8
    Rating, 4.8 out of 5 stars
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    310 reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Data and Machine Learning for Technical Product Managers

    Skills you'll gain: Technical Communication, Technical Product Management, Program Evaluation, Performance Metric, Data Analysis, Agile Methodology, Project Management, Analytics, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, Large Language Modeling, R Programming, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Coursera

    Data Engineering: Pipelines, ETL, Hadoop

    Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Data Strategy, Big Data, Data Warehousing, Strategic Decision-Making, Apache Spark, Data Integration, Data Processing, Data Migration, Business Analytics, Data Management, Data Quality, Data Analysis, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    SAS

    Machine Learning Rock Star – the End-to-End Practice

    Skills you'll gain: Predictive Modeling, Responsible AI, Predictive Analytics, Machine Learning, Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Data Science, Machine Learning Algorithms, Artificial Intelligence, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
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    189 reviews

    Beginner · Specialization · 3 - 6 Months

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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Application Deployment, Machine Learning, Applied Machine Learning, Continuous Integration, Automation, Data Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Whizlabs

    AWS: ML Workflows with SageMaker, Storage & Security

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Amazon CloudWatch, AWS Identity and Access Management (IAM), Data Pipelines, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Whizlabs

    Azure AI & ML: Optimize Language Models for AI Applications

    Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Large Language Modeling, Continuous Monitoring, Generative AI, Performance Tuning, Machine Learning

    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

Searches related to ml pipelines

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machine learning pipelines with azure ml studio
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In summary, here are 10 of our most popular ml pipelines courses

  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
  • Real-World Applications & Model Deployment in Java : Board Infinity
  • ML Algorithms: Whizlabs
  • AWS: Machine Learning & MLOps Foundations: Whizlabs
  • Managing Machine Learning Projects: Duke University
  • Data and Machine Learning for Technical Product Managers: Coursera
  • Data Engineering: Pipelines, ETL, Hadoop: Coursera
  • Machine Learning Rock Star – the End-to-End Practice: SAS
  • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
  • AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs

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