Review testing the regression tools included in the LunchBox ML toolset, specifically focusing on the differences between linear and nonlinear regression.
- [Instructor] Regression Algorithms may be the most … intuitive tool in the machine learning toolbox. … They predate machine-learning all together … playing a critical role in statistics … since the early 1800s. … Fundamentally, regression analysis extracts a … transfer function from the results of previous test samples. … This transfer function then provides a method … to predict future output for untested input. … There's a wide variety of regression strategies. … We will look at some of the options included … in lunchbox machine learning tool set for Grasshopper. … When picking a regression strategy, … typically, you should consider the number and type … of inputs and the type of transfer functions to consider. … Most importantly linear or nonlinear. … I have the exercise file open already. … In Grasshopper, you can see there's a data set here. … This has been downloaded from a Github repository. … The link is included in the script. … In the data, we have height, weight, and age …
- 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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