Explore how the basic process of regression is extended in other more novel machine learning techniques and tools, namely clustering, classification, and neural network.
- [Narrator] At its most basic, … machine learning is the process … of inferring rules and relationships from sample data. … This concept has been extended … with additional machine learning tools … to include other types of learning … including the ability to sort a set of things into groups … or to classify things by type. … This video will focus specifically on the tools … included with the LunchBox plugin in Grasshopper. … Our goal will be to organize or classify the tools … based on the type of learning they mimic … thinking about how each could be … incorporated into a design workflow. … Having considered regression as the fundamental … machine learning paradigm, this video will dig deeper … into other types of machine learning. … As we humans move through the world … we are constantly organizing things into groups. … Most of the time the distinctions … between these groups are not explicitly defined. … For example, teachers often group students … by learning style and prior experience …
- What is generative design?
- Limitations of generative design
- Strengths and limitations of genetic/evolutional solvers
- How physics solvers work
- Testing and adjusting goals
- Working with machine learning tools
- Design requirements and diagramming
- Optimizing with Galapagos
Skill Level Intermediate
Grasshopper: Architectural Prototypingwith Walter Zesk2h 28m Intermediate
Learning Algorithmic Design with Grasshopperwith Chris Reilly3h 14m Intermediate
1. What Is Generative Design?
2. Genetic/Evolutional Solver Example
3. Physics Solver Example
4. Machine Learning Solver Example
5. Applying Generative Design
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