The Shape of Data

10 Multicore and Quantum Computing

In the previous chapters, we overviewed many tools that come from the fields of geometry and topology. We saw how these algorithms can impact network analytics, natural language processing, supervised learning, time-series analytics, visualization, and unsupervised learning. Many more algorithms rooted in topology exist, including hybrid algorithms that improve existing models such as convolutional or recurrent neural networks, and the field has the potential to contribute thousands more to the field of machine learning.

However, one of the major issues facing the development and application of topological ...