Doing More With Less

In the context of the recent economic downturn, carefully balanced strategies are needed so that agencies use their increasingly limited resources to help meet shared economic priorities at the local level and set local economies back on the track to economic growth. National government policies can make a great deal of difference in building economically viable, sustainable communities, but not if policies are fragmented, services duplicated and agencies do not communicate with each other on what they are trying to achieve.

Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Wee Hyong Tok, Amit Bahree, and Senja Filipi show you how to create products using weakly supervised learning models.

This study lays out steps that should be taken for the Army to field combat systems with reduced logistics support requirements for a highly mobile and lethal battle force that is fundamentally self-sufficient. Although the study is based on a notional battle force concept provided by the Army to illustrate possibilities and alternatives, the findings also can be applied to the development of systems for other missions. Reductions in logistics demand that can be achieved by addressing logistical implications during system design will be more significant than improving the ways that logistics support is provided.