The Paradox of Autonomy and Recognition
Thoughts on trust and merit in software team culture.
Kate Matsudaira
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Lean Software Development: Building and Shipping Two Versions
Catering to developers' strengths while still meeting team objectives.
The Science of Managing Data Science
Lessons learned managing a data science research team.
Capturing and Structuring Data Mined from the Web
Kate Matsudaira considers not only how to mine data from the Web, but what to do with it once you have it.
Mobile performance issues? Fix the back end, not just the client.
Designing APIs For Mobile Performance Best Practices
While there are many ways of tackling these unique obstacles of mobile performance, this article is largely focused on things that can be done from an API, or backend service, to improve the performance (or the perception thereof) of mobile clients. The article is focused on 2 main parts:
1. Minimizing network connections and the need to transmit data – efficient media handling, effective caching, and employing longer data-oriented operations with fewer connections.
2. Sending the "right" data across the network – designing APIs to return only the data that is needed/requested, and optimizing for the various types of forms of mobile devices.
When it comes to big data, one of the greatest things we can do as computer scientists creating products is to distill all the information down to what is important. Of course, the challenge with these sorts of problems always lies in the details. This article goes into a few of the challenges associated with applying data mining to product reviews.
Data Mining the Web Via Crawling
This post focuses on the data collection via crawling the web, by covering some of the challenges around collecting and discovering new content via a web crawler.
Shape the Future of Computing
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