Machine Learning in Action pdf epub mobi txt 电子书下载 2025

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简体网页||繁体网页

Peter Harrington

Manning Publications

2012-4-19

384

GBP 29.99

Paperback

9781617290183

图书标签: 机器学习 MachineLearning 数据挖掘 python 人工智能 Python 计算机科学算法

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发表于2025-01-08

Machine Learning in Action epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2025

Machine Learning in Action pdf epub mobi txt 电子书下载 2025

图书描述

It's been said that data is the new "dirt"—the raw material from which and on which you build the structures of the modern world. And like dirt, data can seem like a limitless, undifferentiated mass. The ability to take raw data, access it, filter it, process it, visualize it, understand it, and communicate it to others is possibly the most essential business problem for the coming decades.

"Machine learning," the process of automating tasks once considered the domain of highly-trained analysts and mathematicians, is the key to efficiently extracting useful information from this sea of raw data. By implementing the core algorithms of statistical data processing, data analysis, and data visualization as reusable computer code, you can scale your capacity for data analysis well beyond the capabilities of individual knowledge workers.

Machine Learning in Action is a unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. In it, you'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification.

As you work through the numerous examples, you'll explore key topics like classification, numeric prediction, and clustering. Along the way, you'll be introduced to important established algorithms, such as Apriori, through which you identify association patterns in large datasets and Adaboost, a meta-algorithm that can increase the efficiency of many machine learning tasks.

Machine Learning in Action 下载 mobi epub pdf txt 电子书

著者简介

Peter Harrington holds Bachelors and Masters Degrees in Electrical Engineering. He worked for Intel Corporation for seven years in California and China. Peter holds five US patents and his work has been published in three academic journals. He is currently the chief scientist for Zillabyte Inc. Peter spends his free time competing in programming competitions, and building 3D printers.

图书目录

Machine Learning in Action pdf epub mobi txt 电子书下载

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用户评价

评分☆☆☆☆☆

是本好书，有些章节还看的不是最明白。值得反复阅读

评分☆☆☆☆☆

书中介绍了“十大机器学习算法”中的八种，虽然不深入但是讲解清楚容易理解和上手，是本佳作。从覆盖面上来看没涉及到随机森林算法和神经网络是一个小遗憾。

评分☆☆☆☆☆

看这书可以同时入门机器学习，python，mapreduce，作者可以几个方面都讲清楚，真不容易

评分☆☆☆☆☆

over simplified in maths, you do need refer to other textbooks for get better idea how it works. and too much coding details, I can understand as the author was from CS background, but I think you need read more, beside this is indeed a nice start point.

评分☆☆☆☆☆

读了LR，ada boost，略读了svm，psvm。数学渣子的福音，码农最爱的实例。虽然大家都说写的不好，不过入个门还是不错。

读后感

评分☆☆☆☆☆

1. 这本书的价值是提供了一系列有趣的「实验作业」和「对应的数据」，以及乱七八糟的 Python 代码，迫使读者在同样数据集上自己写一个更好的。 2. 作者的 Python 代码写得真的真的很渣。 3. 作者的 SVM 写错了，不是 Platt 的原始 SMO 算法，里面的 error cache 形同虚设。 ...

评分☆☆☆☆☆

原书的案例、数据和代码（我自己基于Python3写的）都放在这里啦：https://github.com/Y1ran/Machine-Learning-in-Action-Python3 ，大家可以参考一下，记得star哦 PS. 忍不住吐槽：原书本来的代码除了简单易懂，实在找不出其他优点了。。 PSS.目前还在读，这个月会慢慢写完的，...

评分☆☆☆☆☆

这本书的最大好处是让你能够用最基本的pyton语法，从底层上让你构建代码，实现我们常说的比如邮件过滤，数据分类的应用。很多时候你要写最基本的代码和结构去做这些工作，而不是像kaggle的tutorial或者其他的工程大多数告诉你一个lib库函数去调用，你能看到底层在干什么...

评分☆☆☆☆☆

理论推导太弱，导致部分代码实现难以理解为什么是这样写，建议配合吴恩达讲义使用。另外贝叶斯那段代码实现应该是错误的，作者在计算概率的时候把分母给弄错了，还有就是因为python版本问题，在python3上跑书上程序需要对程序进行一些改动。附代码修改： def classifyNB(vec2...

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Machine Learning in Action pdf epub mobi txt 电子书下载 2025