guofangkejidaxue-diancichang

说明：  基于核主成分分析法的GA_BP神经网络短期用电负荷预测，很不错的文章研究遗传算法，BP神经网络，核主成分(GA_BP Neural Network Based on Kernel Principal Component Analysis (KPCA) for short-term load forecasting. This paper studies genetic algorithm, BP Neural Network and Kernel Principal Component.)

说明：  《机器学习》是清华大学出版社出版发行的书籍，作者是周志华。(Machine Learning is a book published by Tsinghua University Press and written by Zhou Zhihua.)

说明：  Python算法学习入门资料，中文版，学习Python的入门经典(Python algorithm learning materials)

说明：  安捷伦频谱仪培训的相关资料，包含如何使用频谱仪，频谱仪的功能等(Training materials of Agilent spectrometer, including how to use the spectrometer, functions of the spectrometer, etc)

说明：  Python数据挖掘入门与实践 本书作为数据挖掘入门读物，介绍了数据挖掘的基础知识、基本工具和实践方法，通过循序渐进地讲解算法，带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式，呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果，如何使用亲和性分析方法推荐电影，如何使用朴素贝叶斯算法进行社会媒体挖掘，等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。(Introduction and practice of Python data mining As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)

ao go的汇编论坛精华(ao go to the essence of the compilation Forum)

MATLAB+R2014a完全自学一本通，电子书籍，完整的一本书，可以从其中学习matlab详细的知识(MATLAB+R2014aCompletely self-taught)

说明：  采用 FSFR 系列飞兆电源开关 (FPS? ) 的半桥 LLC 谐振变换 器的设计(Using the fairchild FSFR series power switch of a half-bridge LLC resonant transformation The design of the device)

TM1638 LED驱动控制专用电路C语言驱动(TM1638 IC Deriver Code)

算法的乐趣，增加对算法的了解。图灵原创，王晓华著(The Fun of Algorithms)