Machine Learning in Action 2025 pdf epub mobi 电子书

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Machine Learning in Action 2025 pdf epub mobi 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.

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发表于2025-04-13

Machine Learning in Action 2025 pdf epub mobi 电子书

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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，...

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客观说，完全不能当入门书。缺少必要的证明过程，有些甚至连公式都没有。我觉得既然要学习机器学习，光改改代码完全是不够的，起码还得知道各个算法的基本公式和过程，不幸的是，这本书没有。就比如逻辑斯蒂回归那章，他连损失函数都没提，就开始说梯度法了。问题是梯度法的...

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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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人工智能的脉络机器学习是人工智能的一个分支。人工智能的研究历史有着一条从以“推理”为重点，到以“知识”为重点，再到以“学习”为重点的自然、清晰的脉络。机器学习是实现人工智能的一个途径，即以机器学习为手段解决人工智能中的问题。从学习方式来讲，机器学习包括...

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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

Machine Learning in Action 2025 pdf epub mobi 电子书图书描述

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 2025 pdf epub mobi 电子书

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