Generative Design Primer
  • Welcome
  • Introduction to Generative Design
    • Computational Design
    • Generative Design
      • What is Generative Design?
      • Why should I use Generative Design?
      • What goes into a Generative Design Process?
        • Anatomy of each stage
      • Examples of Generative Design
        • MaRs Innovation District of Toronto
        • Furniture Design
        • A Further Analogy
      • Anatomy of a Good Generative Design Process
    • Visual Programming
    • Dynamo
    • Generative Design for Revit and Dynamo
  • Deeper Dive to Generative Design
    • Algorithms
      • What are Algorithms?
      • Generators
      • Evaluators
      • Solvers
    • Optioneering
    • Optimization
      • What is Optimization?
      • Objective Function
      • Constraints
      • Data
      • Defining Goals
    • Genetic Algorithms
      • What is a Genetic Algorithm?
      • Initialization phase
      • Evaluation Phase
      • Selection Phase
      • Crossover Phase
      • Mutation Phase
    • Other Techniques
    • Genetic Algorithm Q&A
  • Hello Generative Design for Revit and Dynamo!
    • Installing Generative Design
    • Setting up a Graph for Generative Design
    • Running Generative Design
    • Visualizing Results in Generative Design
    • Refinery Toolkit
      • Installing the Refinery Toolkit from the Dynamo Package Manager
      • Using the Refinery Toolkit
    • Space Analysis for Dynamo
      • Installing the Space Analysis for Dynamo package from the Dynamo Package Manager
      • Using the Space Analysis Package
    • Using Revit alongside Generative Design
      • Using Data from Revit
      • Remember Node Inputs
      • How to Test Revit Data Capture
      • Detailed Example Workflow
      • Sharing Logic and Results
      • Current Limitations
      • Accessing Generative Design Directly From Revit
  • Sample Workflows
    • Getting Started Workflows
      • Highest Point of a Surface
      • Minimum Volume and Maximum Surface
    • Architectural Workflows
      • Building Mass Generator
      • Building Positioning based on Solar Analysis
      • Office Layout
      • Grid Object Placement in a Room
      • Entourage Placement Exploration
    • MEP Workflows
      • Distributing Spotlights in an Office Space
    • Structural Workflows
    • BIM Workflows
      • Placement of views on sheets
    • Community Examples
      • Guidelines
      • List Of Examples
  • Generative Design in Your Office
    • What Generative Design Can Be Used For?
    • What Generative Design Can’t Be Used For?
    • How to Convince Senior Stakeholders of Using Generative Design?
    • The Role of a Generative Designer
    • Hiring a Generative Designer
  • Next Steps
    • Machine Learning
      • What is Machine Learning?
      • Is Generative Design Machine Learning?
      • Can Machine Learning and Generative Design Work Together?
  • Appendix
    • Glossary
    • Reference Material
    • Need Professional Help?
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  • What is Machine Learning?
  • So Why the Big Hype?

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  1. Next Steps
  2. Machine Learning

What is Machine Learning?

PreviousMachine LearningNextIs Generative Design Machine Learning?

Last updated 8 months ago

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Machine learning (ML) has become an area of interest over the last few years. From virtual assistants to financial data interpretation, ML has become an important tool in creating models to explain data behavior and make predictions for future outcomes.

Rather than trying to define ML here, we suggest that you visit the following sites to get more in-depth information of the subject. For the purposes of this chapter, we will assume that you have a basic understanding of ML and will focus on the key aspects that relate to generative design.

Articles

Courses

Videos

What is Machine Learning?

Machine learning (in this context) is a way of analyzing data and using it to predict future behaviors.

So Why the Big Hype?

Due to the immense amount of data that we have and produce in contemporary society, these methods have become an extremely useful, powerful, accurate, and efficient way of exploring data. ML has many applications, from classifying cancerous cells in images to predicting whether or not a customer will buy a product.

https://expertsystem.com/machine-learning-definition/
https://www.geeksforgeeks.org/machine-learning/
https://www.coursera.org/learn/machine-learning
https://www.edx.org/learn/machine-learning
Google Cloud Platform - AI Adventures YouTube playlist
OxfordSparks - What is Machine Learning?
The Royal Society - What is Machine Learning?