自动简历筛选系统（带有数据集） 一个网络应用程序，可通过分析简历和简历，显示最适合该职位的候选人并筛选出不适合的人来帮助雇主。 描述 使用推荐引擎技术，例如基于内容的协作，基于内容的过滤，以模糊匹配具有多个履历的职位描述。 先决条件 软件 textract == 1.6.3 要求== 2.22.0 烧瓶== 1.1.1 gensim == 3.8.0 sklearn == 0.0 PyPDF2 == 1.26.0 自动更正== 0.4.4 nltk == 3.4.5 宫缩== 0.0.21 textsearch == 0.0.17 拐弯== 2.1.0 numpy == 1.17.2 pdfminer.six == 20181108 Python 3.6.0 | Anaconda 4.3.0（64位）| 数据集 链接1： ： 镜像： : 运行本地主机

This paper proposes TW-k-means, an automated two-level variable weighting clustering algorithm for multiview data, which can simultaneously compute weights for views and individual variables. In this algorithm, a view weight is assigned to each view to identify the compactness of the view and a variable weight is also assigned to each variable in the view to identify the importance of the variable. Both view weights and variable weights are used in the distance function to determine the clusters

Hands-On Automated Machine Learning 英文mobi 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

自动驾驶(springer 2017 )最新书籍，高清原版！书中对无人车的各个方面比如架构，安全，定位，控制等有非常详细的讲解，特别是控制，基本包含讲了所有的无人车控制方法！是一本好的综述书！

Planning is the model-based approach to autonomous behavior where the agent behavior is derived automatically from a model of the actions, sensors, and goals. e main challenges in planning are computational as all models, whether featuring uncertainty and feedback or not, are intractable in the worst case when represented in compact form. In this book, we look at a variety of models used in AI planning, and at the methods that have been developed for solving them. e goal is to provide a modern and coherent view of planning that is precise, concise, and mostly self-contained, without being shallow. For this, we make no attempt at covering the whole variety of planning approaches, ideas, and applications, and focus on the essentials. e target audience of the book are students and researchers interested in autonomous behavior and planning from an AI, engineering, or cognitive science perspective.

Hands-On Automated Machine Learning 英文无水印转化版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书