Simulate Machine Intel w/Fuzzy Logic, Google Sheets & BigML

Offered By
Coursera Project Network
In this Free Guided Project, you will:

Understand the roles Fuzzy Logic and Set Theory play in Machine Learning

Discover various uses for Set Theory and Google Sheets

Run both a Cluster Analysis and Tree Analysis of it in BigML using a provided dataset

Showcase this hands-on experience in an interview

Clock2 hours
BeginnerBeginner-friendly
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

How does your toaster know what “darker” means and what to do about it? Fuzzy logic is the foundation of how machines synthesize human understanding of qualitative values. By the end of this project, learners will discover how fuzzy logic works using set theory, and create machine-learning analyses of datasets using the Google Sheets add-on BigML. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Requirements

None required.

Skills you will develop

Fuzzy LogicMachine LearningBigMLGoogle SheetsSet Theory

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Understand machine thinking and fuzzy logic

  2. Apply set theory as a framework for fuzzy logic

  3. Discuss some other applications of fuzzy logic and set theory

  4. Use Google Sheets with set theory

  5. Get familiar with BigML and some of its uses

  6. Use BigML to analyze machine learning and create pattern analyses in complex data

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.