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  • Machine Learning Model Lifecycle

Results for "machine learning model lifecycle"


  • Status: New
    New
    Status: Preview
    Preview
    P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Generative AI, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering, Predictive Modeling, Supervised Learning, Unsupervised Learning, Data Transformation, NumPy

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    923 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Pearson

    Learn MLOps for Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, Artificial Intelligence, Data-Driven Decision-Making, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
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    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, DevOps, Continuous Deployment, CI/CD, Machine Learning, Automation, Data Pipelines, Version Control

    4
    Rating, 4 out of 5 stars
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    476 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Data Science Model Deployments and Cloud Computing on GCP

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Building a Machine Learning Ready Organization

    Skills you'll gain: Resource Allocation, Organizational Change, Business Leadership, Strategic Leadership, Business Transformation, Organizational Strategy, Organizational Leadership, Data Strategy, Technology Strategies, Business Priorities, Strategic Decision-Making, Digital Transformation, Change Management, AI Product Strategy, Performance Measurement, Business Metrics, Key Performance Indicators (KPIs), Return On Investment

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Web Frameworks, Rust (Programming Language), Microsoft Copilot, DevOps, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Command-Line Interface, Big Data

    4.2
    Rating, 4.2 out of 5 stars
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    205 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
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    176 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Statistical Machine Learning, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Data Cleansing, Predictive Analytics, No-Code Development, Statistical Programming, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
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    102 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Building a Machine Learning Solution

    Skills you'll gain: Exploratory Data Analysis, Data Collection, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability

    4.3
    Rating, 4.3 out of 5 stars
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    59 reviews

    Advanced · Course · 1 - 4 Weeks

1234…670

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

  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Learn MLOps for Machine Learning: Pearson
  • Structuring Machine Learning Projects: DeepLearning.AI
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Data Science Model Deployments and Cloud Computing on GCP: Packt
  • Building a Machine Learning Ready Organization: Amazon Web Services
  • DevOps, DataOps, MLOps: Duke University
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Machine Learning Using SAS Viya: SAS

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