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基于Gavin Hackeling Mastering Machine Learning With scikit-learn中文讲义
1 个回复 - 643 次查看基于Gavin Hackeling Mastering Machine Learning With scikit-learn中文讲义 Mastering Machine Learning with scikit-learn Apply effective learning algorithms to real-world problems using scikit-lea ...2022-5-20 11:56 - Mama-2022 - 现金交易版

【经典教材系列】Mastering Machine Learning with R
126 个回复 - 17722 次查看 2015年最新教材降价出售期已过。想要随时跟踪最新好书，请点击头像下方“加关注”。关注成功后，查看这里即可：三步走把千本好书“一网打尽”！。 [相关阅读] 【经典教材系列】（资料汇总帖，附链接，持续添加中 ...2015-10-31 07:59 - wwqqer - 量化投资

Mastering Machine Learning with R 3rd Edition
8 个回复 - 1319 次查看 2021-6-5 06:58 - Nicolle - winbugs及其他软件专版

Mastering Machine Learning with Python in Six Steps, 2nd Edition
2 个回复 - 1240 次查看 Mastering Machine Learning with Python in Six Steps, 2nd Edition（英文电子书） Mastering Machine Learning with Python in Six Steps A Practical Implementation Guide to Predictive Data Analytics Usi ...2020-11-13 16:50 - 冯广刚 - python论坛

Mastering Machine Learning with R - Second Edition
106 个回复 - 8865 次查看 English | 24 Apr. 2017 | ASIN: B01N5XJ3O0 | 420 Pages | AZW3 | 4.42 MB Key Features Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST Understand ...2017-6-15 09:29 - igs816 - 量化投资

【数据分析电子书免费下载】Mastering Machine Learning with scikit-learn pdf_下载
2 个回复 - 2709 次查看【数据分析电子书免费下载】Mastering Machine Learning with scikit-learn pdf_下载 Apply effective learning algorithms to real-world problems using scikit-learn 两个多月终读完，虽然有code example ...2017-1-2 16:32 - 数据分析闯天下 - 数据分析与数据挖掘

Machine Learning Mastery With R
43 个回复 - 6439 次查看 2016 | English | PDF | ISBN: N/A | 215 Page R has been the gold standard in applied machine learning for a long time. Surveys show that it is the most popular platform used by professional data sc ...2018-4-19 11:38 - igs816 - R语言论坛

[机器学习]Mastering Machine Learning with scikit-learn （中文版、英文版）
210 个回复 - 41594 次查看中文译本来自北京邮电大学模式识别实验室陈光老师（微博@爱可可-爱生活）。前言这几年机器学习这种从经验学习的软件技术重现光明。在计算机诞生的早期，机器学习的概念已经出现，各种理论天马行空，限于计算成 ...2015-8-13 11:11 - jerker - Forum

Mastering Machine Learning with scikit-learn 2017 第二版
15 个回复 - 4048 次查看 Mastering Machine Learning with scikit-learn (2 ed) (True PDF + AWZ3 + codes) Table of Contents Preface 1 Chapter 1: The Fundamentals of Machine Learning 6 Defining machine ...2017-8-12 07:27 - qingxunz - python论坛

Machine learning Mastery with Python Jason Brownlee
6 个回复 - 4158 次查看 Preface iii I Introduction 1 1 Welcome 2 1.1 Learn Python Machine Learning The Wrong Way . . . . . . . . . . . . . . . . . 2 1.2 Machine Learning in Python . . . . . . . . . . . . . . . . . . . . ...2017-8-25 11:35 - andrewfu1988 - 金融学（理论版）

Mastering Machine Learning with Spark 2.x
4 个回复 - 1735 次查看 2017-9-25 02:42 - Lisrelchen - winbugs及其他软件专版

【独家发布】[GITHUB]Mastering Machine Learning with scikit-learn,Second Edition
2 个回复 - 661 次查看 Mastering Machine Learning with scikit-learn - Second Editionhttps://www.poundsterlinglive.com/best-exchange-rates/british-pound-to-us-dollar-exchange-rate-on-2016-02-22 This is the code repository ...2019-9-19 04:27 - Nicolle - winbugs及其他软件专版

Mastering Machine Learning with Python in Six Steps
3 个回复 - 1011 次查看 2018-10-18 15:42 - 齐物论pi - python论坛

Machine Learning Mastery With Python
28 个回复 - 3015 次查看 2016 | English | PDF | ISBN: N/A | 179 Page The Python ecosystem with scikit-learn and pandas is required for operational machine learning. Python is the rising platform for professional machine ...2018-4-17 10:36 - igs816 - python论坛

Machine Learning Mastery With Weka
1 个回复 - 1495 次查看 2018-1-27 12:10 - Nicolle - winbugs及其他软件专版

【机器学习】Mastering Machine Learning with scikit-learn
6 个回复 - 1515 次查看目录第1章，机器学习基础第2章，线性回归第3章，特征提取与处理第4章，从线性回归到逻辑回归第5章，决策树——非线性回归与分类第6章，K-Means聚类第7章，用PCA降维第8章，感知器第9章，从感知器到 ...2017-7-28 15:16 - mathew2538 - 量化投资

【2017新书】Mastering Machine Learning with Python in Six Steps
4 个回复 - 1897 次查看 [*]Title: Mastering Machine Learning with Python in Six Steps [*]Author: Manohar Swamynathan[/backcolor] [*]Length: 358 pages [*]Edition: 1st ed. [*]Language: English [*]Publisher: Apress[/back ...2017-6-7 13:49 - jasonwu24 - python论坛

Mastering Machine Learning with Python in Six Steps
2 个回复 - 379 次查看 Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner.This book’s approach is based on the “Six degrees of separ ...2017-9-12 16:02 - lyiang001 - 经管书评

【Jupyter】Mastering Machine Learning with scikit-learn - Second Edition
8 个回复 - 1428 次查看 Mastering Machine Learning with scikit-learn - Second Edition **** 本内容被作者隐藏 **** This is the code repository for Mastering Machine Learning with scikit-learn - Second Edition[/backcolor], pu ...2017-8-13 04:59 - Reader's - winbugs及其他软件专版

Mastering Machine Learning with scikit-learn--Gavin Hackeling(pdf+epub+mobi) +++
1 个回复 - 752 次查看 Author: Gavin Hackeling 原书购买链接：https://www.packtpub.com/big-data-and-business-intelligence/mastering-machine-learning-scikit-learn 附件是该书的pdf、epub、mobi版本。附上原书的code。code ...2017-7-21 10:54 - lalalasia - python论坛

Mastering Machine Learning with Python in Six Steps
2 个回复 - 1783 次查看内容简介：[/backcolor]掌握掌握学习Python的六个步骤：使用Python预测性数据分析的实用指南[/backcolor]主机学习与Python在六个步骤，探索基础到高级主题，所有旨在使您成为一个值得从业者。[/backcolor]这本书的方 ...2017-6-7 18:16 - xpf7622 - Forum

【博文】7 Steps to Mastering Machine Learning With Python
9 个回复 - 1051 次查看 **** 本内容被作者隐藏 ****2017-4-16 02:25 - ReneeBK - winbugs及其他软件专版

【博文】7 More Steps to Mastering Machine Learning With Python
3 个回复 - 810 次查看 **** 本内容被作者隐藏 ****2017-4-16 02:22 - Lisrelchen - winbugs及其他软件专版

Mastering Machine Learning with scikit-learn
35 个回复 - 7647 次查看 This book examines machine learning models including logistic regression, decision trees, and support vector machines, and applies them to common problems such as categorizing documents and classifyin ...2014-11-17 15:48 - zhouxingchi - winbugs及其他软件专版

7 Steps to Mastering Machine Learning With Python
1 个回复 - 1298 次查看 By Matthew Mayo, KDnuggets. [hr]Logit Data Science Academy - Register Today[hr] Getting started. Two of the most de-motivational words in the English language. The first step is often the hardest to ...2016-8-10 09:28 - oliyiyi - winbugs及其他软件专版

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