The Introduction to Machine Learning course will allow you to learn about specific techniques used in supervised, unsupervised, and semi-supervised learning, including which applications each type of machine learning is best suited for and the type of training data each requires. You will discover how to differentiate offline and online training and predictions, automated machine learning, and how the cloud environment affects machine learning functions. Additionally, you will explore some of the most significant areas in the field of machine learning research.
Completion Time
24 hours
Access Time
42 Days
Outcome
Individual Skill Course
Language
English
Training Level
Intermediate
Delivery Information:
Online
Asynchronous
Self-paced
Description
Learning Outcomes
What you will learn:
- Learn how to define what happens when a user clicks a button or presses a key on your pages
- Try out loops and timers to create animation effects
- Learn how to use JavaScript to add sound effects, background music, and custom music player controls to your web pages
- Understand how to use jQuery to get the most out of your site
- Add more power to your programing and interactivity on our website by learning JavaScript
- Learn to create modern, interactive website that visitors will love
- Open the door to new opportunities as you learn to use JavaScript to build better websites
Requirements
Technology Requirements
Hardware Requirements: This course can be taken on either a PC, Mac, or Chromebook.
Software Requirements: Software must be installed and fully operational before the course begins.
- PC: Windows 8 or later.
- Mac: macOS 10.6 or later.
- Browser: The latest version of Google Chrome or Mozilla Firefox are preferred. Microsoft Edge and Safari are also compatible. Cookies and JavaScript must be enabled
- The latest Adobe Reader/Acrobat Reader ( free download available at https://get.adobe.com/reader/ )
- Any modern Office suite: Microsoft Office, Apple iWork, OpenOffice, or LibreOffice
- Reliable internet connection. Broadband cable or highspeed DSL is recommended for optimal experience.
- E-mail account (to be able to register and to receive e-mail from the course system regarding registration, course status, etc.)
Prerequisites
The Intro to Machine Learning course will look to build on concepts learned within the Intro to AI course. However, students should still be able to take the ML course without the AI.
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