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Principles_and_Patterns
说明： programming principles and patterns
- 2019-03-19 13:23:19下载
- 积分：1
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PML
DEA solver for windows 10 in matlab666
- 2020-06-20 15:00:01下载
- 积分：1
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Boost_技术与应用.pdf
boost技术及应用，学C++ 必备书籍，高清pdf.(boost technology and application)
- 2018-03-07 15:36:00下载
- 积分：1
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飞行控制系统
说明： 飞行控制系统，张明廉，已绝版的经典版本pdf(Flight Control System, Zhang Minglian, classic version pdf)
- 2021-01-15 11:28:46下载
- 积分：1
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007428-01
说明： 模拟电子技术基础教程，清-华-大-学-出版社(Basic Course of Analog Electronic Technology, Tsinghua University Press)
- 2020-05-03 17:52:21下载
- 积分：1
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华为内部程序设计培训 PDF版
这是华为公司程序培训教材,我把它改成了PDF版,为方便阅读,添加了书签希望对大家有用(Huawei procedures training materials, turning it into a PDF version for easy reading, add a bookmark to hope it may be useful)
- 2020-06-26 08:40:01下载
- 积分：1
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【经典飞兆设计参考】LLC_谐振变换器设计
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)
- 2019-01-19 23:03:36下载
- 积分：1
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深度学习-伊恩 人民邮电出版社
说明： 《深度学习》由全球知名的三位专家Ian Goodfellow、Yoshua Bengio 和Aaron Courville撰写，是深度学习领域奠基性的经典教材。全书的内容包括3个部分：第1部分介绍基本的数学工具和机器学习的概念，它们是深度学习的预备知识；第2部分系统深入地讲解现今已成熟的深度学习方法和技术；第3部分讨论某些具有前瞻性的方向和想法，它们被公认为是深度学习未来的研究重点。(Deep learning, written by three famous experts in the world, is a classic textbook in the field of deep learning. The book consists of three parts: the first part introduces the basic mathematical tools and the concept of machine learning, which are the preparatory knowledge of deep learning; the second part systematically explains the mature deep learning methods and technologies; the third part discusses some forward-looking directions and ideas, which are recognized as the future research focus of deep learning.)
- 2021-02-02 21:25:32下载
- 积分：1
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C专家编程
C语言进阶书籍，可做为参数手册使用，内容详细，需要有编程基础(advanced c programing language book)
- 2018-12-08 19:42:20下载
- 积分：1
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机器学习实战（高清 中文版）
机器学习实战（高清 中文版）
作者： Peter
本书通过精心排的实例切入日常工作任务摒弃学术化语言利用高效可复用的Python 代码阐释如何处理统计数据进行数据分析及可视化。读者可从中学到一些核心的机器学习算法并将其运用于某些策略性任务中如分类、预测及推荐等。本书适合机器学习相关研究人员及互联网从业人员学习参考。(Machine learning combat (HD Chinese version)
Author: Peter
This book cuts into everyday tasks through elaborate examples. Abandoning academic language uses efficient and reusable Python code to illustrate how to process statistics for data analysis and visualization. Readers can learn some core machine learning algorithms and apply them to certain strategic tasks such as classification, prediction, and recommendation. This book is suitable for machine learning related researchers and Internet practitioners to learn reference.)
- 2019-05-19 03:06:57下载
- 积分：1
