AI/ML Byte-Sized Series: Machine Learning Introduction
- Created By raju2006
- Last Updated December 12th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Description:
This concise session will provide a clear overview of machine learning. We will discuss various types of machine learning, how machines learn, and the importance of data. We will also examine what is required for effective machine learning development and we’ll explore some interesting use cases. This session is an effective non-technical introduction to machine learning.
Setup:
Because this is an abbreviated session, attendees MUST install Anaconda software https://www.anaconda.com/ and have a basic understanding of using Jupyter Notebook.
Course Code/Duration:
BDT115 / 90 Minutes
Learning Objectives:
Learn about what is machine learning, we will cover the following:
- Various types of machine learning
- How machines learn
- The influence of the quantity and variety of data on machine learning
- The application of machine learning to interesting use cases
- Basic understanding of python language and pandas library.
- This session is designed for anyone wants to learn machine learning.
- This session is designed for anyone wants to learn machine learning.
Course Outline:
Overview of Machine Learning
- Types of Machine Learning
- How Machines Learn
- Importance of Data in Machine Learning
- Interesting Use Cases of Machine Learning
Training Material Provided: Yes (Digital Format)
