Alphabet’s Moonshot Factory detailed a project to build “Everyday Robots” two years ago. Today it gave an update on how it has progressed towards building autonomous machines and real-world office testing.

Alphabet’s Moonshot Factory detailed a project to build “Everyday Robots” two years ago. Today it gave an update on how it has progressed towards building autonomous machines and real-world office testing.
Want to learn the fundamentals of computer science? This is a good place to start.
You’ll learn fundamental concepts of building programs.
Taught via Python as the programming language.
Clustering—an unsupervised machine learning approach used to group data based on similarity—is used for work in network analysis, market segmentation, search results grouping, medical imaging, and anomaly detection. K-means clustering is one of the most popular and easy to use clustering algorithms. In this course, Fred Nwanganga gives you an introductory look at k-means clustering—how it works, what it’s good for, when you should use it, how to choose the right number of clusters, its strengths and weaknesses, and more. Fred provides hands-on guidance on how to collect, explore, and transform data in preparation for segmenting data using k-means clustering, and gives a step-by-step guide on how to build such a model in Python.