Machine Learning in Action

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

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.

出版者:Manning Publications
作者:Peter Harrington
出品人:
页数:384
译者:
出版时间:2012-4-19
价格:GBP 29.99
装帧:Paperback
isbn号码:9781617290183
丛书系列:
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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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.

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Python数据分析与机器学习实战 课程观看地址:http://www.xuetuwuyou.com/course/167 课程出自学途无忧网:http://www.xuetuwuyou.com 课程风格通俗易懂,真实案例实战。精心挑选真实的数据集为案例,通过python数据科学库numpy,pandas,matplot结合机器学习库scikit-lear...

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我的学习过程如下,供大家参考: 1、有些python的基础编程能力,如果没有,先花半个小时学习下; 2、数学基本统计基础,如果不懂数学原理,可以先不要去理解数学原理; 3、先上手写下代码,沉浸进入,熟悉了代码流程,再回头去看数据原理,就明白了。 5、一句话,先不求甚解,...  

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机器学习是人工智能研究领域中一个极其重要的研究方向,在现今的大数据时代背景下,捕获数据并从中萃取有价值的信息或模式,成为各行业求生存、谋发展的决定性手段,这使得这一过去为分析师和数学家所专属的研究领域越来越为人们所瞩目。 本书第一部分主要介绍机器学习基础,以...  

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Python数据分析与机器学习实战 课程观看地址:http://www.xuetuwuyou.com/course/167 课程出自学途无忧网:http://www.xuetuwuyou.com 课程风格通俗易懂,真实案例实战。精心挑选真实的数据集为案例,通过python数据科学库numpy,pandas,matplot结合机器学习库scikit-lear...

评分

Python数据分析与机器学习实战 课程观看地址:http://www.xuetuwuyou.com/course/167 课程出自学途无忧网:http://www.xuetuwuyou.com 课程风格通俗易懂,真实案例实战。精心挑选真实的数据集为案例,通过python数据科学库numpy,pandas,matplot结合机器学习库scikit-lear...

用户评价

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Bad Smells in Codes...

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理论条理清楚、举重若轻。可惜程序代码水平稍差。

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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

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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

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是本好书,有些章节还看的不是最明白。值得反复阅读

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