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  • Web Api For Ml Models

Results for "web API for ML models"


  • G

    Google Cloud

    Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

    Skills you'll gain: Google Cloud Platform, Model Deployment, Tensorflow, Kubernetes, Scalability, Cloud Deployment, Image Analysis, Applied Machine Learning, Cloud Computing, MLOps (Machine Learning Operations), Convolutional Neural Networks, Cloud Management, Cloud Storage, Data Management

    Intermediate · Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    MLOps in R: Deploying machine learning models using vetiver

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh

    Skills you'll gain: Cloud Computing, Model Deployment, Cloud Deployment, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Continuous Deployment, Microservices, Load Balancing

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Awwvision: Cloud Vision API from a Kubernetes Cluster

    Skills you'll gain: Kubernetes, Image Analysis, Application Deployment, Containerization, Google Cloud Platform, Cloud Applications, Cloud API, Computer Vision, Web Applications

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - 日本語版

    Skills you'll gain: Google Cloud Platform, CI/CD, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Model Deployment, Metadata Management, AI Workflows, AI Orchestration, PyTorch (Machine Learning Library), Containerization

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Preprocessing, Artificial Neural Networks, Deep Learning, Embeddings, Cloud Computing, Feature Engineering, Data Pipelines, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Classification Algorithms, Amazon Web Services, Machine Learning Methods, Predictive Modeling, Machine Learning, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Compare Models with Experiments in Azure ML Studio

    Skills you'll gain: Jupyter, Plot (Graphics), Model Evaluation, Microsoft Azure, Machine Learning Algorithms, Applied Machine Learning, Data Visualization, Regression Analysis

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Analyze Data in Azure ML Studio

    Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Feature Engineering, Data Analysis, Statistics, Exploratory Data Analysis, Probability & Statistics, Data Visualization Software, Correlation Analysis, Applied Machine Learning

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Vertex Pipelines: Qwik Start

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Applied Machine Learning, Data Pipelines, Tensorflow, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    Auto Machine Learning (AutoML) Using AutoGluon

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Classification Algorithms, Model Evaluation, Machine Learning, Python Programming, Prototyping

    Beginner · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular web API for ML models courses

  • Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes: Google Cloud
  • MLOps in R: Deploying machine learning models using vetiver: Coursera
  • Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh: Google Cloud
  • Awwvision: Cloud Vision API from a Kubernetes Cluster: Google Cloud
  • ML Pipelines on Google Cloud - 日本語版: Google Cloud
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版: Google Cloud
  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Compare Models with Experiments in Azure ML Studio: Coursera
  • Analyze Data in Azure ML Studio: Coursera

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