Learning System Design

Second in the series, Practical Aspects of Embedded System Design using Microcontrollers emphasizes the same philosophy of “Learning by Doing” and “Hands on Approach” with the application oriented case studies..

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.

Understanding the main principles and algorithms underlying a modern operating system is essential in undergraduate computer science. The complexity of this subject, however, means that mastering it requires significant practical experience. This unique book accomplishes just that: it teaches introductory subjects in OS design and implementation through hands-on engagement with OSP 2, the next generation of the highly popular OSP courseware.

Transforming Culture and Capabilities to Execute Business Strategy: The Agile Way to Business Strategy Success