Computer science as an academic discipline began in the 1960’s. Emphasis was on programming languages, compilers, operating systems, and the mathematical theory that supported these areas. Courses in theoretical computer science covered finite automata, regular expressions, context-free languages, and computability. In the 1970’s, the study of algorithms was added as an important component of theory. The emphasis was on making computers useful. Today, a fundamental change is taking place and the focus is more on a wealth of applications. There are many reasons for this change. The merging of computing and communications has played an important role. The enhanced ability to observe, collect, and store data in the natural sciences, in commerce, and in other fields calls for a change in our understanding of data and how to handle it in the modern setting. The emergence of the web and social networks as central aspects of daily life presents both opportunities and challenges for theory.
标签： Foundations Science Data of
上传时间： 2020-06-10
上传用户：shancjb
Machinelearninghasgreatpotentialforimprovingproducts,processesandresearch.Butcomputers usually do not explain their predictions which is a barrier to the adoption of machine learning. This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model- agnosticmethodsforinterpretingblackboxmodelslikefeatureimportanceandaccumulatedlocal effects and explaining individual predictions with Shapley values and LIME.
标签： interpretable-machine-learning
上传时间： 2020-06-10
上传用户：shancjb
S32K1xx Series Reference Manual 用户手册--2029页 Supports S32K116, S32K118, S32K142, S32K144, S32K146, and S32K148S32K是一款符合AEC-Q100规范、基于32位ARM Cortex-M4F和Cortex-M0+内核的MCU，适用于通用汽车和高可靠性工业应用。The S32K1xx product series further extends the highly scalable portfolio of Arm® Cortex®-M0+/M4F MCUs in the automotive industry. It builds on the legacy of the KEA series, while introducing higher memory options alongside a richer peripheral set extending capability into a variety of automotive applications. With a 2.70–5.5 V supply and focus on automotive environment robustness, the S32K product series devices are well suited to a wide range of applications in electrically harsh environments, and are optimized for cost-sensitive applications offering low pin-count options. The S32K product series offers a broad range of memory, peripherals, and package options. It shares common peripherals and pin counts, allowing developers to migrate easily within an MCU family or among the MCU families to take advantage of more memory or feature integration. This scalability allows developers to use the S32K product series as the standard for their end product platforms, maximizing hardware and software reuse and reducing time to market
标签： S32K116 S32K118 S32K142 S32K144
上传时间： 2022-04-15
上传用户：jason_vip1
介绍atlas copco新式拧紧工具PF6000系统
标签： PF6000系统
上传时间： 2022-07-01
上传用户：joshau007
