About This Book, Leverage Python' s most powerful open-source libraries for deep learning, data wrangling, and data visualization, Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms, Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets, Who This Book Is For, If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource., What You Will Learn, Explore how to use different machine learning models to ask different questions of your data, Learn how to build neural networks using Keras and Theano, Find out how to write clean and elegant Python code that will optimize the strength of your algorithms, Discover how to embed your machine learning model in a web application for increased accessibility, Predict continuous target outcomes using regression analysis, Uncover hidden patterns and structures in data with clustering, Organize data using effective pre-processing techniques, Get to grips with sentiment analysis to delve deeper into textual and social media data, Style and approach, Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.
2022-10-07 05:17:15 8.63MB Python Machine Learning
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This book sets out to introduce people to important machine learning algorithms. Tools and applications using these algorithms are introduced to give the reader an idea of how they are used in practice today. A wide selection of machine learning books is available, which discuss the mathematics, but discuss little of how to program the algorithms. This book aims to be a bridge from algorithms presented in matrix form to an actual functioning program. With that in mind, please note that this book is heavy on code and light on mathematics.
2022-10-07 05:09:37 9.92MB Machine Learning in Action
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#清磁盘啦~,CSDN“网盘”真好用,感谢CSDN~ 机器学习,基于朴素贝叶斯机器学习算法实现对情感文本分析与分类(含数据集),sgns.weibo.bigram-char,使用gensim加载预训练中文分词
2022-10-06 18:06:21 173.42MB 机器学习 machine learning 朴素贝叶斯算法
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#清磁盘啦~,CSDN“网盘”真好用,感谢CSDN~ 机器学习,基于KNN算法对银行客户的历史数据进行分类分析,通过研究客户的历史行为来捕捉流失客户的特点,分析客户流失原因,从而可以在客户真正流失之前做出相应的营销干预,对客户进行挽留。
2022-10-06 18:06:20 21.7MB machine learning 银行客户流失
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深度学习黑白照片彩色化论文 Let there be Color Joint End-to-end Learning of Global and Local Image Priors.pdf
2022-10-06 11:56:00 15.35MB Color
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数据库和分布式系统 数据库与分布式系统学习资料总结,有缘人进来点个星星,祝您一生平安靴靴。 数据库系统简介(2019年秋季) 高级数据库系统(2020年Spring) 这个repo中的CMU-15-721包含了每一个课堂的幻灯片,我的课堂笔记以及每堂课必读的论文 分布式系统 接下来的计划应该就是上这门课,写SimpleDB SIMD 容灾相关 推出是15-721第一门课要求读的论文,发现了新SQL的特性和HTAP是趋势 数据库入门必备,让您对关系型数据库有一个整体架构的理解。 首先多种并发控制策略在多核CPU下的性能指标 Andy口中世界上南波万的关于MVCC的paper ..读就完事了 列式数据库的综述论文,87页 方法化执行引擎和编译执行引擎的简单介绍 skipList 特里树 板蓝根 B / B +树 LSM树 红黑树 咆哮的位图 位图 参考BitSet写的一个很弱智的位图 快取
2022-10-06 10:18:50 75.34MB database system paper distributed
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docker learning
2022-10-05 20:04:42 17KB docker
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恢复上升 简历解析器和摘要器工具可对简历进行分类,并根据用户要求对简历进行排名。 数据集 包含1000个以csv格式标记的简历(根据特定简历所属的主要类别/类别进行标记)。 我们将使用此csv格式的简历数据集来训练我们的模型以进行分类。 然后,我们的模型应该能够处理任何看不见的简历。 参考文件: Utils / Analysis.ipynb :数据清理+预处理+可视化+见解 Utils / Summarize.ipynb :恢复汇总算法 Utils / pdftotext.ipynb :使用pdfminer将odf转换为文本 Utils / Modelling.ipynb :主文件+代表性更改+培训+模型比较+测试 Utils / naive_bayes.ipynb :多项朴素贝叶斯实现 Utils / svm.ipynb :svm实现 Utils / clean_data1.csv :
2022-10-05 15:44:09 8.42MB nlp machine-learning ocr nltk
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什么是MedicalVision? 基于pytorch的深度学习工具包,用于医学图像分析。 MedicalVision的目标是在火炬上提供轻巧的包装,可以进一步减少开发用于医学图像分析任务(例如分类,配准和分割等)的新算法的时间。 动机与目标 随着深度学习在计算机视觉中的流行,已经提出了许多基于深度学习的作品/体系结构来处理传统医学图像分析任务(分类,注册和分割)。 不幸的是,据我所知,还没有一个基于pytorch的简单有效的工具包能够实现快速原型制作。 在日常工作中,我会为各种医学图像数据集编写DataLoader并重现一些论文中介绍的算法。 为了使生活更轻松,创建了MedicalVision工具包,旨在提供: 著名医学图像数据集的数据加载器 最新模型中使用的常见损失和指标 动物园模型,包括经过培训的最新模型 ... MedicalVision工具箱仍在开发中。 以下流行的深度学习
2022-10-05 11:10:57 36KB deep-learning pytorch medical-imaging Python
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目标检测综述文章:Deep Learning for Generic Object Detection: A Survey
2022-10-04 21:05:38 4.56MB 目标检测 深度学习
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