@ Programmer, I knew you would do this holiday?

You certainly did not expect this holiday season turned out to be so over it.

If you can predict the future, you will stay home holiday, how do the kind of arrangement?

The number of raisins or, shouting across the neighbors sing good, not as good as stop and read a few books to enrich my knowledge, maybe newly acquired knowledge, you can make your favorite year after the entry of IT manufacturers.

When it comes to the development of IT, I do not know since when we have the whole body submerged in the trend of big data era, was unwittingly caught up in the era of big data.

Whether the Internet every day to see web pages, chat QQ, micro-channel chat, or log in banking, online shopping, buy a ticket, or travel, lodging, and even access to any public place, driving, water and electricity all the time ...... We produce a variety of data. And we also consume the data produced by other people, many appliances we use every design detail into the investigation and analysis of data on the user experience designer;

Each phone we use each computer, the output of each component are integrated into the production and monitoring under multi-index data was unimaginable control;

We visit every page, every software, every change to enjoy the intimate products and services upgrade, all imbued with numerous data collection and detailed analysis and feedback.

This is a happiness comes on slowly, throughout all industrial revolution, which is a moisten things silently intensive industries start.

Whether we are not willing to, whether we have not realized that we are now living in the era of big data singularity, and the future to meet the big data explosion brought us a singular point of impact. We need to harness the power of waves in the ship, we need to ride forward momentum.

In this voyage, we do not have to worry about their ability level can not perceive this force majestic breadth of data, do not worry Theorem arcane formulas make us feel resistance.

Recommend a book to you, believe me, this is a book easy to understand big data, which is relaxed Data Mining and Machine Learning Reading one, this is a no threshold machine learning practical manual.

"Vernacular big data and machine learning."

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资深大数据专家多年实战经验总结，拒绝晦涩，开启大数据与机器学习妙趣之旅
以降低学习曲线和阅读难度为宗旨，重点讲解了统计学、数据挖掘算法、实际应用案例、数据价值与变现，以及高级拓展技能，清晰勾勒出大数据技术路线与产业蓝图
　　
本书通俗易懂，有高中数学基础即可看懂，同时结合大量案例与漫画，将高度抽象的数学、算法与应用，与现实生活中的案例和事件一一做了关联，将源自生活的抽象还原出来，帮助读者理解后，又带领大家将这些抽象的规律与算法应用于实践，贴合读者需求。同时，本书不是割裂讲解大数据与机器学习的算法和应用，还讲解了其生态环境与关联内容，让读者更全面地知晓渊源与未来，是系统学习大数据与机器学习的不二之选：
　　●大数据产业解读——剖析产业情况，人才供需、职业选择与相应“武器”库；
　　●步入大数据之门——解读数据、信息、算法，以及与大数据应用的关系；
　　●大数据基石——结合大量示例和漫画，趣味讲解大数据算法应掌握的数学知识，无障碍学习；
　　●大数据算法奥义——信息论、向量空间、回归、聚类、分类等*为核心的算法的释义与应用，举重若轻；
　　●大数据热门应用——关联分析、用户画像、推荐算法、文本挖掘、人工神经网络等*实用、*需要了解的应用的原理与实现；
　　●大数据主流框架——介绍了主流的大数据框架（Hadoop、Spark和Cassandra）；
　　●系统架构与调优——从速度与稳定性方面给出调优的一般性“内功心法”；
　　●大数据价值与变现——从运营指标、AB测试、大数据价值与变现场景多维度解读。

作者简介：

高扬，金山软件西山居资深大数据架构师与大数据专家，有多年编程经验（多年日本和澳洲工作经验）和多年大数据架构设计与数据分析、处理经验，目前负责西山居的大数据产品市场战略与产品战略。专注于大数据系统架构以及变现研究。擅长数据挖掘、数据建模、关系型数据库应用以及大数据框架Hadoop、Spark、Cassandra、Prestodb等的应用。负责西山居紫霞系统——大数据日志处理系统的系统架构与设计工作。

卫峥，西山居软件架构师，多年的软件开发和架构经验，精通C/C++、Python、Golang、JavaScript等多门编程语言，近几年专注于数据处理、机器学算法的研究、应用与服务研发。曾在新浪网平台架构部负责音视频转码平台的架构和研发工作，为新浪微博，新浪微盘，秒拍等提供视频在线观看服务。51CTO讲师。

尹会生，西山居高级系统工程师。曾任新浪研发中心技术经理、北京尚观科技高级讲师。在新浪广告、微博广告、西山居大数据平台架构中担任关键角色。擅长企业集群解决方案和内核调优经验，并提供高性能和高可用性集群咨询服务。近4年专注于Hadoop集群、Spark集群在推荐系统和BI相关领域的解决方案。

万娟，星盘科技有限公司UI设计师平面，对VI设计、包装、海报设计等、商业插画、App交互、网页设计等有独到认识。多次参与智能家居和智能音箱等项目的UI设计。多次参加国际和国内艺术和工业设计比赛，并获奖。从小酷爱绘画，理想是开一个属于自己的画室。