Byte-Sized ML Basic Series: Machine Learning Model Deployment
- Created By raju2006
- Last Updated December 12th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Description:
Explore difference ways in which the deployment of machine learning happens. Get some knowledge on the various tools used in machine learning.
Course Code/Duration:
BDT182 / 90 minutes.
Learning Objectives:
Learn about saving and using trained machine learning models. We will look at the following:
- Learn about :
- Saving and using trained machine learning models.
- Various ways to save a machine learning model.
- Where to store the saved model.
- Various ways to call a saved model to make predictions on new data.
- No prior technical knowledge
- This session is for learners who would like to become familiar with the machine learning process.
- This session is for learners who would like to become familiar with the machine learning process.
Course Outline:
- Introduction to Machine Learning Model Deployment
- Saving a Machine Learning Model
- Storing a Saved Model
- Calling a Saved Model to Make Predictions.
Training Material Provided: Yes (Digital format)
The curriculum is empty
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