GIS简介A Gentle Introduction to GIS

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地理信息系统(GIS)的初学者指南,该指南使用开放源Quantum GIS作为示例。

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85B
GIS简介A Gentle Introduction to GIS

地理信息系统(GIS)的初学者指南,该指南使用开放源Quantum GIS作为示例。

2019-11-15 立即下载
700KB
A Gentle Introduction to Gradient Boosting

A Gentle Introduction to Gradient Boosting, a powerful machine learning algorithm.

2015-05-09 立即下载
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A Gentle Tutorial of the EM Algorithm and its apllication to parameter estimation for Gaussian Mixture and Hidden Markov Models

We describe the maximum-likelihood parameter estimation problem and how the Expectation- Maximization (EM) algorithm can be used for its solution. We first describe the abstract form of the EM algorithm as it is often given in the literature. We then develop the EM parameter estimation procedure for

2009-07-13 立即下载
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lisp经典教程common lisp A Gentle Introduction To Symbolic Computation

lisp的入门教程A Gentle Introduction To Symbolic Computation

2008-10-26 立即下载
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哈斯克尔简介A Gentle Introduction to Haskell

Haskell的简介,Haskell是一种通用的纯函数式编程语言,它结合了编程语言设计中的许多最新创新。

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1.12MB
IPMI – A Gentle Introduction with OpenIPMI

This document describes IPMI in great detail; how it works and what it does and does not do. It starts from the basics and moves into details.

2011-12-27 立即下载
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Programming-for-Computations-Python-A-Gentle-Introduction-to-Numerical-Simulations-with-Python.pdf.pdf

Programming-for-Computations-Python-A-Gentle-Introduction-to-Numerical-Simulations-with-Python.pdf

2019-09-11 立即下载
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Deep.Learning.Made.Easy.with.R.A.Gentle.Introduction.For.Data.Science

Master Deep Learning with this fun, practical, hands on guide. With the explosion of big data deep learning is now on the radar. Large companies such as Google, Microsoft, and Facebook have taken notice, and are actively growing in-house deep learning teams. Other large corporations are quickly buil

2016-01-14 立即下载
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Convolutional Neural Networks in Visual Computing_A Concise Guide-CRC(2018).pdf

Deep learning architectures have attained incredible popularity in recent years due to their phenomenal success in, among other appli- cations, computer vision tasks. Particularly, convolutional neural networks (CNNs) have been a signi cant force contributing to state- of-the-art results. e jargon

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实用优化:简介Practical Optimization: A Gentle Introduction

介绍应用程序优化中最重要的主题。

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TeX简介,自学手册A Gentle Introduction to TeX, a Manual for Self-study

TeX的紧凑而简单的介绍,适合需要立即开始的繁忙读者。

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基于gentle adaboost算法的人脸检测研究

基于gentle adaboost算法的人脸检测研究

2013-10-28 立即下载
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opencart template Gentle v3.0

一套不错的opencart 模板,opencart template Gentle,包括 PSD 源文件。 适合opencart 1.5, 可以参考学习,也可以自行修改。

2011-12-02 立即下载
129KB
gentle_tensorflow, Tensorflow简介.zip

gentle_tensorflow, Tensorflow简介 Gentlest Tensorflow目标Tensorflow ( TF ) 尝试将深入学习的功力放入世界各地开发人员的手中。 它有一个初学者&和高级教程,以及Udacity课程。 Gentlest Tensorflow尝试克

2019-10-10 立即下载
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[machine_learning_mastery系列]xgboost_with_python.pdf

Welcome Welcome to XGBoost With Python. This book is your guide to fast gradient boosting in Python. You will discover the XGBoost Python library for gradient boosting and how to use it to develop and evaluate gradient boosting models. In this book you will discover the techniques, recipes and skill

2018-06-05 立即下载
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统计理论(James E. Gentle)Theory of Statistics (James E. Gentle)

这本书针对的是数学统计学已经或将成为生活重要组成部分的学生。 它涵盖了经典似然,贝叶斯和置换推断。 基本渐近分布理论简介; 和现代主题。

2019-10-28 立即下载
2.5MB
对数学艺术的温和介绍A Gentle Introduction to the Art of Mathematics

这本开放源代码的教科书涵盖了数学基础中的几个主题(逻辑,集合,关系,函数和基数),并向读者介绍了许多数学证明技术。

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Java in Two Semesters Featuring JavaFX, 4th Edition

Java in Two Semesters: Featuring JavaFX (Texts in Computer Science) By 作者: Quentin Charatan – Aaron Kans ISBN-10 书号: 3319994190 ISBN-13 书号: 9783319994192 Edition 版本: 4th ed. 2019 出版日期: 2019-01-09 pages 页数: (716 ) $79.99 This easy-to-follow textbook teaches Java programming from first principles, as

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Programming-for-Computations-Python-A-Gentle-Introduction-to-Numerical-Simulations-with-Python (1).pdf.pdf

Programming-for-Computations-Python-A-Gentle-Introduction-to-Numerical-Simulations-with-Python (1).pdf

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Common Lisp-对符号计算的温和介绍Common Lisp - A Gentle Introduction To Symbolic Computation

轻描淡写地介绍Lisp,不需要算术就可以拥有任何数学背景。

2019-11-15 立即下载
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