[图灵程序设计丛书] 算法图解

An E-book which introduces visual studio and c#

说明：  先进控制策了 模型预测控制（MPC）的经典书籍分享(Classic books on model predictive control)

陈火旺：程序设计语言编译原理(Chan Huo : Programming Language Compiler Principle)

说明：  凌禹. 双馈风力发电系统的建模仿真与控制.pdf。清晰版书籍，网上很难找的。(Ling Yu. Modeling, simulation and control of doubly fed wind power generation system.pdf. Clear edition books are hard to find on the Internet.)

说明：  英文原版MSP430教材，从430架构到后期项目架构。(The original MSP430 teaching book, from the 430 archtechture to projects' form.)

说明：  secure communicating systems

说明：  传统的MUSIC算法用于声源定位，确定信号源的方向角(Conventional MUSIC algorithm for sound source position to determine the source of the direction angle)

说明：  Quantum Field Theory For The Gifted Amateur

说明：  本书由Keras之父、现任Google A工智能研究员的弗朗索瓦?肖莱（Frangois Chollet）执笔，详尽介 绍了用Python和Keras进行深度学习的探索实践，涉及计算机视觉、自然语言处理、生成式模型等应用。 书中包含30多个代码示例，步骤讲解详细透彻。由于本书立足于人工智能的可达性和大众化，读者无须 具备机器学习相关背景知识即可展开阅读。在学习完本书后，读者将具备搭建自己的深度学习环境、建立 图像识别模型、生成图像和文字等能力(This book is written by Frangois Chollet, the father of keras and the current researcher of Google a intelligence. It introduces in detail the exploration and practice of deep learning with Python and keras, involving computer vision, natural language processing, generative model and other applications. The book contains more than 30 code examples, and the steps are detailed and thorough. Because this book is based on the accessibility and popularization of artificial intelligence, readers can read it without having the background knowledge of machine learning. After learning this book, readers will have the ability to build their own deep learning environment, establish image recognition model, and generate images and characters)

PDF为文字版，可以复制，一共983页。本书给出了各种机器学习和数据挖掘方法在python中的应用实例，相当详细。京东200多。(Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields, such as search engines, robotics, self-driving cars, and so on. In this course, you will explore various real-life applications. where you can use what algorithms you should use in a given context using this exciting recipe-based guide.)