ADS-B机场场面监视技术研究对机场场面监视中ADS-B系统的应用方式方法进行了分析了论证。
上传时间： 2017-06-13
上传用户：mhwang1973
Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics
上传时间： 2017-10-27
上传用户：shawnleaves
工程制图B教学课件，内容还不错，有需要的下载，看看
标签： 教学资料
上传时间： 2018-03-01
上传用户：lgdxy
刚刚上传的是工程B习题答案，有需要的可下载看看
标签： 工程制图
上传时间： 2018-03-01
上传用户：lgdxy
Py3爬取B站视频弹幕。。。。。。。。。。。。。
上传时间： 2019-12-17
上传用户：wine
1998年建模B题，内含解题方法解题步骤。
上传时间： 2020-05-02
上传用户：isomerrrr
Machine learning is a broad and fascinating field. Even today, machine learning technology runs a substantial part of your life, often without you knowing it. Any plausible approach to artifi- cial intelligence must involve learning, at some level, if for no other reason than it’s hard to call a system intelligent if it cannot learn. Machine learning is also fascinating in its own right for the philo- sophical questions it raises about what it means to learn and succeed at tasks.
标签： Learning Machine Course in
上传时间： 2020-06-10
上传用户：shancjb
This book is a general introduction to machine learning that can serve as a reference book for researchers and a textbook for students. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms.
标签： Foundations Learning Machine 2nd 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
Much has been written concerning the manner in which healthcare is changing, with a particular emphasis on how very large quantities of data are now being routinely collected during the routine care of patients. The use of machine learning meth- ods to turn these ever-growing quantities of data into interventions that can improve patient outcomes seems as if it should be an obvious path to take. However, the field of machine learning in healthcare is still in its infancy. This book, kindly supported by the Institution of Engineering andTechnology, aims to provide a “snap- shot” of the state of current research at the interface between machine learning and healthcare.
标签： Technologies Healthcare Learning Machine
上传时间： 2020-06-10
上传用户：shancjb
