Assessment 1 Information

Your Task

Your first assessment requires you to apply the concepts learnt during the first four weeks of the subject, as well as researching the supplied references in this document.

Assessment Description

The slide deck is an individual Power Point presentation explaining some concepts learnt related to AI/ML. You are expected to research the supplied references and review workshop slides to develop a good understanding of the different types of ML algorithms and the applications, especially how they are going to support the business.

Thelearningoutcomesyouwilldemonstrateinperformingthisassessmentincludes:

Assessment Instructions PowerPoint Structure

You are required to create an individual slide deck with dot points and illustrations as per the following:

1.Slide 1: Cover page

1. The title of the assessment,your name,student ID and date.

   2.Slide 2-3 Industry 4.0

   1. Characteristics of industry 4.0
   2. How industry 4.0 differs from industry 3.0
   3. Reading:
      • Workshop 1

• https://www.forbes.com/sites/bernardmarr/2018/09/02/what-is-industry-4-0-heres-a-super-easy-explanation-for-anyone/?sh=29e045db9788
  • https://www.upkeep.com/learning/industry-3-0-vs-industry-4-0/

3.Slide 4–5 Fundamentals of AI and ML

1. Briefly describe what AI and ML are respectively with an example for each
2. The relationship between AI and ML
3. Reading:
   • Workshop2
   • https://www.guru99.com/artificial-intelligence-tutorial.html
   • https://cloud.google.com/learn/artificial-intelligence-vs-machine-learning

4.Slide6–10 Types of Machine Learning

1. Supervised learning
   • What the common algorithms are
   • Provide an example of how supervised learning is being used in business
2. Unsupervised learning
   • What the common algorithms are
   • Provide an example of how unsupervised learning is being used in business
3. Major difference between Supervised learning and Unsupervised learning
4. Reading:
   • Workshop3and4
   • https://theappsolutions.com/blog/development/supervised-machine-learning/
   • https://theappsolutions.com/blog/development/unsupervised-machine-learning/
   • https://www.guru99.com/supervised-vs-unsupervised-learning.html

5.Slide11-12 Python Libraries in Machine Learning

1. Research and contrast three Python libraries that are used in Machine Learning

2. Reading:

   • https://www.coursera.org/articles/python-machine-learning-library
   • https://www.springboard.com/blog/data-science/python-libraries-for-machine-learning/
   • https://www.spiceworks.com/tech/artificial-intelligence/articles/top-python-machine-learning-libraries/

   6.Slide 13 Reference

   1. Add your references (atleast 5) in this slide using any professional and consistent  styling.

Submission Instructions

• Name your document“Assessment 1_[Student ID]”
• Save it as a PPT or PDF document format