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  • Machine Learning Pipelines

Results for "machine learning pipelines"


  • Status: Preview
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    G

    Google Cloud

    ML Pipelines on Google Cloud en Español

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Kubernetes, Data Pipelines, CI/CD, Metadata Management, PyTorch (Machine Learning Library), Performance Tuning, Containerization

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    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
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Deploying, Managing, and Experimenting with Models

    Skills you'll gain: Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Computing, Application Deployment, Data Processing, Applied Machine Learning, Scalability, Continuous Deployment, Machine Learning, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Modeling, Machine Learning Algorithms, Process Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Tools: MLflow and Hugging Face

    Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Containerization, CI/CD, Docker (Software), Microsoft Azure, Cloud Computing, Cloud Applications, Machine Learning Software, GitHub, Application Programming Interface (API)

    3.7
    Rating, 3.7 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Computer Vision, Regression Analysis, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Machine Learning Implementation and Operations in AWS

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Scalability, Machine Learning, Technical Design, Amazon Elastic Compute Cloud, Cloud Computing, AWS Identity and Access Management (IAM), Cloud Security, Data Management, Disaster Recovery, Data Security

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Data Ethics, Data Pipelines, Responsible AI, Machine Learning, Information Privacy, Continuous Monitoring, Data Security, Performance Tuning, Scalability

    3.8
    Rating, 3.8 out of 5 stars
    ·
    68 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Recommendation Systems on Google Cloud

    Skills you'll gain: Reinforcement Learning, Google Cloud Platform, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Algorithms, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    484 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Predictive Modeling, Machine Learning Algorithms, Machine Learning, Python Programming, Data Visualization

    Intermediate · Guided Project · Less Than 2 Hours

Searches related to machine learning pipelines

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

  • ML Pipelines on Google Cloud en Español: Google Cloud
  • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
  • Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs
  • Follow a Machine Learning Workflow: CertNexus
  • MLOps Tools: MLflow and Hugging Face: Duke University
  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • Machine Learning Implementation and Operations in AWS: Whizlabs
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Build and Operate Machine Learning Solutions with Azure: Microsoft
  • Machine Learning Models in Science: LearnQuest

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