Udemy – Introduction to Machine Learning 2024-10

Published on: 2024-11-30 18:34:08

Categories: 28

Description

Introduction to Machine Learning course. This course introduces students to an overview of the field of machine learning and introduces some important terms and techniques to enable them to participate in discussions on this topic. This course examines the fundamental aspects of data pipelines and identifies some of the most common problems when preparing data for a machine learning project. Different types of machine learning models and their differences with deep learning models are also discussed.

What you will learn in the Introduction to Machine Learning course:

Define the fundamental aspects of data pipelines that are essential for machine learning.
Identify potential problems when building data pipelines
Identify different types of machine learning models and explain their differences
Discuss popular supervised machine learning models
Understanding popular unsupervised clustering algorithms
General definition of neural networks
Learn about some of the most popular types of neural networks and when to use them
Apply basic machine learning principles to implement basic solutions for classification and regression problems

This course is suitable for people who:

Software engineers who want to be able to participate in machine learning pipeline discussions.
Managers looking to integrate machine learning into their business and want to better understand the complexities of doing so.
Prospective students who want to determine if machine learning is the right field for them.