实用机器学习
作者:孙亮 、黄倩
出版社:人民邮电出版社
ISBN:9787115446466
VIP会员免费
(仅需0.8元/天)
¥ 50.56
温馨提示: 价值40000元的1000本电子书,VIP会员随意看哦!
电子书推荐
-
Machine Learning Refined 评分:
又一本经典的机器学习教材,略侧重理论,介绍了机器学习的各种基本概念,对深度学习论及不多。
上传时间:2018-10 大小:10.89MB
- 8.24MB
Machine+Learning+Refined
2018-05-25Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real-world applications in disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology, this text provides readers with both a lucid understanding of foundational material as well as the practical tools needed to solve real-world problems. With in-depth Python and MATLAB/OCTAVE-based computational exercises and a complete treatment of cutting edge numerical optimization techniques, this is an essential resource for students and an ideal reference for researchers and practitioners working in machine learning, computer science, electrical engineering, signal processing, and numerical optimization.
- 331.12MB
machine_learning_refined:教科书“ Machine Learning Refined”的注释,示例和Python演示(由剑桥大学出版社出版)
2021-02-03完善的机器学习:笔记,练习和Jupyter笔记本 在下面,您将找到补充第二版《机器学习精炼》(剑桥大学出版社出版)的一系列资源。 目录 小部件样本和我们的教学法 我们相信,只有对以下三个问题中的每一个回答都是肯定的,才能精通某种机器学习概念/主题。 Intuition你能用一个简单的图景描述这个想法吗? Mathematical derivation您可以用数学符号表达直觉并推导基础模型/成本函数吗? Implementation您可以在不使用高级库的情况下使用Python这样的编程语言对派生代码进行编码吗? Intuition comes first. 直观的飞跃先于知识的飞跃,因此,我们在书中包括了300多种彩色插图,这些彩色插图经过精心设计,可以直观地掌握技术概念。 这些插图中的许多是动画的快照,这些动画显示了某些算法的收敛性,某些模型从不完全拟合到过度拟合的演变等。可以使用动画(与静态图形相对)来最好地说明和理解此类概念。 您可以在此存储库中找到大量这样的动画-您也可以通过这些注释的原始Jupyter笔记本版本来修改自己。 这里只是几个例子: 交叉验证(回归)
- 31.25MB
Jeremy_Watt-Machine_Learning_Refined-EN.pdf
2019-06-15Jeremy Watt-Machine_Learning_Refined Algorithms,and Applications
- 30.69MB
Machine Learning Refined 无水印pdf
2017-09-27Machine Learning Refined 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer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 本资源转载自网络,如有侵权,请联系上传者或csdn删除
- 6.8MB
Machine.Learning.Refined.Foundations.Algorithms.and.Applications.epub
2016-12-30Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real world applications in disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology, this text provides readers with both a lucid understanding of foundational material as well as the practical tools needed to solve real-world problems. With in-depth Python and MATLAB/OCTAVE-based computational exercises and a complete treatment of cutting edge numerical optimization techniques, this is an essential resource for students and an ideal reference for researchers and practitioners working in machine learning, computer science, electrical engineering, signal processing, and numerical optimization. Additional resources including supplemental discussion topics, code demonstrations, and exercises can be found on the official textbook website at mlrefined.com Table of Contents Chapter 1 Introduction Part I Fundamental tools and concepts Chapter 2 Fundamentals of numerical optimization Chapter 3 Regression Chapter 4 Classification Part II Tools for fully data-driven machine learning Chapter 5 Automatic feature design for regression Chapter 6 Automatic feature design for classification Chapter 7 Kernels, backpropagation, and regularized cross-validation Part III Methods for large scale machine learning Chapter 8 Advanced gradient schemes Chapter 9 Dimension reduction techniques Part IV Appendices Appendix A Basic vector and matrix operations Appendix B Basics of vector calculus Appendix C Fundamental matrix factorizations andthe pseudo-inverse Appendix D Convex geometry
- 5.67MB
Software Technologies Applications and Foundations epub
2018-02-24Software Technologies Applications and Foundations 英文epub 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
- 15KB
Machine-Learning
2021-03-27机器学习
- 19.46MB
Essential Algorithms
2017-04-24Essential Algorithms
- 522.81MB
matlab多元参数非线性回归模型代码-machine_learning_refined:machine_learning_refined
2021-05-21matlab多元参数非线性回归模型代码完善的机器学习:笔记,练习和Jupyter笔记本 在下面,您将找到补充第二版《机器学习精炼》(由剑桥大学出版社出版)的一系列资源。 目录 小部件样本和我们的教学法 ...
- 37.5MB
Machine Learning
2010-11-14机器学习的好书,Tom M. Mitchell的,希望大家能够喜欢!
- 26.87MB
Machine_Learning
2021-04-01机器学习
- 10.71MB
Machine Learning with R
2017-08-28机器学习算法和R语言代码的结合,即不枯燥也不无聊,适合学习机器学习和R语言的人使用。
- 4KB
Machine-Learning-with-R
2021-03-18Machine-Learning-with-R
- 5.9MB
Machine-Learning-I
2021-04-05机器学习I
- 38.86MB
完整车牌号识别程序,可以识别车牌和颜色,可以集成到项目中 支持win7+
2024-05-09基于.Net开发车牌号识别程序,通过控制台输出结果,可以通过启动参数传入地址,集成到项目中。 使用介绍:https://blog.csdn.net/billyyi/article/details/138597795
- 1.95MB
ChatGPT教程(终极版)最全整理
2023-05-16这是一篇动了某些人利益的良心教程。 这是一篇姗姗来迟的ChatGPT教程。 纯小白关于ChatGPT入门,你看我这篇文章就够了。 如果你已经用上了ChatGPT,更要恭喜你挖到宝藏,后面的高级技巧一定能让你有收获。 文章包含以下内容: 一、ChatGPT是啥?有什么用; 二、ChatGPT如何注册; 三、ChatGPT使用方法; 四、用ChatGPT搞钱; 五、高级技巧;
- 58KB
博客中Kmeans以及FCM算法数据(免积分)
2023-05-16博客中Kmeans以及FCM算法的数据,包括IRIS鸢尾花数据集、Wine葡萄酒数据集、Seed小麦种子数据集、glass数据集、WDBD乳腺癌数据集,下载在直接存入项目文件夹即可,如果下载不了,可以私信我,看到后会及时回复。
- 10KB
神经网络回归预测--气温数据集
2021-11-26神经网络回归预测--气温数据集