Deploy a predictive machine learning model using IBM Cloud

oferecido por
Coursera Project Network
Neste projeto guiado, você irá:

Create, evaluate and deploy a machine learning model using Watson Studio (without writing a single line of code).

Deploy the model and try out as a web service frontend to make predictions.

Clock2 hours
IntermediateIntermediário
CloudSem necessidade de download
VideoVídeo em tela dividida
Comment DotsInglês
LaptopApenas em desktop

In this 1-hour long project-based course, you will be able to create, evaluate and save a machine learning model (without writing a single line of code) using Watson Studio on IBM Cloud Platform, and you will make deployment of the model and try out as a web service frontend to make predictions. This guided project is for Data Scientists, Machine Learning Engineers, and Developers who want a way to deliver their machine learning code available to be integrated into an application and using it as a web service. We will do everything in a development mode without any costs using a free IBM Cloud account. To be successful in this project, you should be familiar with machine learning methodologies, like training, prediction, evaluation, and basic knowledge in some machine learning algorithms is appreciated too, so that way you will understand the results before making a deployment. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que você desenvolverá

  • Data Science
  • deployment
  • Machine Learning
  • Classification Algorithms
  • Machine Learning (ML) Algorithms

Aprender passo a passo

Em um vídeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:

  1. Introduction to the IBM Cloud and Watson Studio.

  2. Create a Project and Import our Data.

  3. Explore the Data Refinery and create a Machine Learning Service.

  4. Train, evaluate and save the Machine Learning model.

  5. Deploy and test the ML model as a Web Service.

Como funcionam os projetos guiados

Sua área de trabalho é um espaço em nuvem, acessado diretamente do navegador, sem necessidade de nenhum download

Em um vídeo de tela dividida, seu instrutor te orientará passo a passo

Perguntas Frequentes – FAQ

Perguntas Frequentes – FAQ

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