Computer Science

by Jeff Barnes

This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and princ...

by Sophy Wong

We've gathered up the best bits of wearable technology from the first two years of HackSpace magazine for this amazing book. Its 164 pages are packed with step-by-step tutorials and inspirational projects to help you add a unique look to your wardrobe! Ditch the circuit board, step away from the computer: it's time to use your tech skills...

by Edward Ashford Lee, Sanjit Arunkumar Seshia

An introduction to the engineering principles of embedded systems, with a focus on modeling, design, and analysis of cyber-physical systems. The most visible use of computers and software is processing information for human consumption. The vast majority of computers in use, however, are much less visible. They run the engine, brakes, seatbelts,...

by Nikolaus Correll

This book provides an algorithmic perspective to autonomous robotics to students with a sophomore-level of linear algebra and probability theory. Robotics is an emerging field at the intersection of mechanical engineering, electrical engineering, and computer science. With computers becoming more powerful, making robots smart is getting more and mo...

by Mark Burgess

This 2d volume describes the systematic application of Promise Theory to systems, representing a significant step forward in describing functional systems with both dynamics and semantics. By combining quantitative and qualitative descriptions in a single framework, Promise Theory provides the first impartial language for multiscale system phenomen...

by Mark Burgess

Network and System Administration usually refers only to the traditional skills and recipes for keeping computers and networks running properly. But, in truth, this view omits the most important part of the system: humans. The skill needed to comprehend and tame systems comprising both humans and machines is that of managing complexity. In this boo...

by Jonathan A. Poritz

Everyone needs a little cryptology. The problem with crypto is that it has a reputation of being very hard and mysterious, as well as very easy to get wrong. While there are aspects of crypto that are connected to quite modern and complex theories - such as number theory, an old and deep branch of mathematics; complexity theory, a new(er) and su...

by Ankur Moitra

This course is organized around algorithmic issues that arise in machine learning. Modern machine learning systems are often built on top of algorithms that do not have provable guarantees, and it is the subject of debate when and why they work. In this class, we focus on designing algorithms whose performance we can rigorously analyze for fundamen...

by Jeremy Keith

Resilient Web Design, you might think that this is a handbook for designing robust websites. This is not a handbook. It's more like a history book. But in the world of web design, we are mostly preoccupied with the here and now. When we think beyond our presentmoment, it is usually to contemplate the future - to imaginethe devices, features...

by HackSpace Team

From component choice, to packaging, to marketing, to the million other things that you need to do when you scale up production, we'll help you turn your project into a product - and along the way it'll help you be a better maker. - Build a rocket-powered wing-wing glider out of balsa wood and 3D printed parts (it's like the space...