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I’ve been very excited to learn about all sorts of principles from the field of organizational theory. What is most engaging is how they so strongly relate to many principles within the field of software architecture. Conway’s law establishes this principle, but I think we can take it further.

We will demonstrate a novel application of Mapper to the domain of explanatory machine learning and show how Mapper can be used to understand not just the shape of data, but also understand a machine learning model.

In unsupervised learning, one of the main questions we want to answer is what type of structure does this set or shape have? The field of algebraic topology supplies a few tools to help answer this question. We can ask topological questions about the data, such as how many clusters or connected components are there? or are there gaps, holes, or voids in the data?. These question can be easy to answer if the shape is well defined, but in practice, we instead have data sampled from that shape. If…

The nerve is a simplicial complex built from a cover. It is a discrete summarization of the cover that captures the interesting topological features. Additionally, if the cover is sufficiently refined, then the nerve is guaranteed to preserve the topological features. A nerve of a cover is constructed in a very straight forward way: An (n-1)-dimensional simplex is added for each nonempty n-way intersection of elements of the cover.

Once we understand the tower, we will show that it plays nice with all of the other definitions we have constructed so far and how it allows us to naturally define a multiscale mapper.

As one of the main tools from the field of Topological Data Analysis, Mapper has been shown to be particularly useful for exploring high dimensional point cloud data. This post will walk through the mapper construction from an intuitive perspective and demonstrate how it can be constructed on a toy example.

I heard once that debugging and fixing defects amounts to half the cost of software development ¹. Half of the time you spend writing code, you’re not actually writing code, your fixing code. It seems to me that a strong majority of the software development tools we have are devoted to this effort. Yeah, text editors are for writing code, but all the little tools like debuggers, print statements, and inspect element, are designed for fixing code. They are designed for decreasing the time…

The traditional process of the scientific method is to create a hypothesis, design an experiment, collect specific data, and then analyze the results. With modern advances, data collection has become so cheap that it is often collected before we even know what to look for. The scientific method is being flipped on end.Data is being Now, the hard part in the process is sifting through the piles of data and figuring out what to questions to ask. New methods of analysis are emerging to help us…

The Law of Demeter is a small set of rules for how objects should interact with each other. It helps define the boundaries between objects and determine who controls and owns what. Applying this design principle gives each object their own personal space and keeps objects from micromanaging others.