Machine Learning in Action 2024 pdf epub mobi 电子书

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Machine Learning in Action 2024 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2024-05-17

Machine Learning in Action 2024 pdf epub mobi 电子书

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这本书最大的优点在于有源码实现，很赞，但是理论部分太差了，看了逻辑回归和支持向量机两章，发现好多理论都没讲，就比如逻辑回归中的Cost函数都没说，如果不了解，源码读起来也是一头雾水，所以对于初学者还需要一本理论较强的书，推荐李航博士的统计机器学习方法，刚好配套～

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为什么我会力荐这本书？也许书中分类器都非常的简单，数学理论都非常的粗浅（为了看明白书中SVM分类器的训练过程，不得不去复习了二次凸优化解法，自己推导被作者略去的中间过程），算法测试也只在轻量级的数据集上完成。不过，大可不必像其他评论一样对贬低本书。聪明的读...

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如果你是机器学习的入门者，如果你想快速看到算法的执行效果，那么这本书适合你。作者把算法的基本原理讲的很清楚，而且代码是完整可执行的。当然，如果你想了解算法背后的数学原理，还需要花时间去复习一下概率论、高等数学和线性代数。 BTW：读者最好有编程经验，有抽象思维。

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纯属好奇机器学习是怎么回事，虽然是coding渣，冲着现在三分热情在慕课上补了下python的基础知识。就跑来看实战。下了kiddle版和pdf版本的看了第一章节，大学的矩阵相加，相减，相乘都忘光了， numpy的各个函数也不熟。看的很打击积极性。遂又上51cto上又搜机器学习的相关...

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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...

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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 2024 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 2024 pdf epub mobi 电子书

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