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interpretable-machine-learning

  • Contents at a Glance Introduction 1 PART I INSTALLATION AND CONFIGURATION 5 Hour 1 Preparing to I

    Contents at a Glance Introduction 1 PART I INSTALLATION AND CONFIGURATION 5 Hour 1 Preparing to Install Linux 7 2 Installing Linux 23 3 Post-Installation Issues 41 PART II LEARNING LINUX BASICS 67 Hour 4 Reading and Navigation Commands 69 5 Manipulation and Searching Commands 93 6 Using the Shell 117 7 Using the X Window System 143 8 Exploring the K Desktop Environment 177 PART III CONNECTING TO THE OUTSIDE WORLD 197 Hour 9 Using Communications Programs 199 10 Connecting to the Internet 223 11 Configuring Internet Email 249 12 Configuring Internet News 269 13 Internet Downloading and Browsing 289

    標簽: CONFIGURATION Introduction INSTALLATION Preparing

    上傳時間: 2013-12-27

    上傳用戶:qiao8960

  • embedded system BootLoader technolegy

    embedded system BootLoader technolegy,have great help for embedded system bootloader learning。

    標簽: BootLoader technolegy embedded system

    上傳時間: 2016-03-27

    上傳用戶:hj_18

  • This document is designed to aid anyone considering whether to write an emulator for an arcade gam

    This document is designed to aid anyone considering whether to write an emulator for an arcade game machine. It will attempt to answer frequently asked questions, give a step by step tutorial, and provide the resources necessary for a capable programmer to begin work on an emulator for an arcade game.

    標簽: considering document designed emulator

    上傳時間: 2014-01-05

    上傳用戶:caixiaoxu26

  • 模式識別學習綜述.該論文的英文參考文獻為303篇.很有可讀價值.Abstract— Classical and recent results in statistical pattern recog

    模式識別學習綜述.該論文的英文參考文獻為303篇.很有可讀價值.Abstract— Classical and recent results in statistical pattern recognition and learning theory are reviewed in a two-class pattern classification setting. This basic model best illustrates intuition and analysis techniques while still containing the essential features and serving as a prototype for many applications. Topics discussed include nearest neighbor, kernel, and histogram methods, Vapnik–Chervonenkis theory, and neural networks. The presentation and the large (thogh nonexhaustive) list of references is geared to provide a useful overview of this field for both specialists and nonspecialists.

    標簽: statistical Classical Abstract pattern

    上傳時間: 2013-11-25

    上傳用戶:www240697738

  • The second volume in the Write Great Code series supplies the critical information that today s comp

    The second volume in the Write Great Code series supplies the critical information that today s computer science students don t often get from college and university courses: How to carefully choose their high-level language statements to produce efficient code. Write Great Code, Volume 2: Thinking Low-Level, Writing High-Level, teaches software engineers how compilers translate high-level language statements and data structures into machine code. Armed with this knowledge, a software engineer can make an informed choice concerning the use of those high-level structures to help the compiler produce far better machine code--all without having to give up the productivity and portability benefits of using a high-level language

    標簽: information the critical supplies

    上傳時間: 2014-02-21

    上傳用戶:luke5347

  • This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hier

    This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.

    標簽: reversible algorithm the nstrates

    上傳時間: 2014-01-08

    上傳用戶:cuibaigao

  • 支持向量機

    支持向量機,用于分類。Classify using (a very simple implementation of) the support vector machine algorithm

    標簽: 支持向量機

    上傳時間: 2014-01-11

    上傳用戶:hphh

  • Excellent Bootloader with a lot of features for arm, can be used for homebrew applications or for le

    Excellent Bootloader with a lot of features for arm, can be used for homebrew applications or for learning how a bootloader works, it has support for networking and yet has a very small size. support for filesystems, flash disk, flash, cf etc present. ideal when you would like get ur board up and running quickly.

    標簽: for applications Bootloader Excellent

    上傳時間: 2014-12-07

    上傳用戶:klin3139

  • This book is for the experience and not the same level of the design process so prepared by the staf

    This book is for the experience and not the same level of the design process so prepared by the staff, of course, the reader should at least be able to prepare a simple C language program. On the C language are learning readers, this book is any C language tutorial excellent supporting materials, to be able to answer all relevant questions.

    標簽: the experience prepared process

    上傳時間: 2013-12-20

    上傳用戶:jcljkh

  • Ants performing 3 actions: searching ore , mining ore , returning ore basic Artificial Neurological

    Ants performing 3 actions: searching ore , mining ore , returning ore basic Artificial Neurological Network working the learning proces to pick their state through Genetic Programming 人工智能中的蟻群算法

    標簽: ore Neurological performing Artificial

    上傳時間: 2013-12-26

    上傳用戶:hongmo

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