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[书籍推荐] Statistics for Data Science [推广有奖]

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igs816 在职认证  发表于 2018-8-16 23:55:43 |显示全部楼层 |坛友微信交流群
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English | 2017 | ISBN: 1788290674 | 279 Pages | PDF
This book is intended for those developers who are willing to enter the field of data science and are looking for concise information of statistics with the help of insightful programs and simple explanation. Some basic hands on R will be useful.

What You Will Learn:

- Analyze the transition from a data developer to a data scientist mindset
- Get acquainted with the R programs and the logic used for statistical computations
- Understand mathematical concepts such as variance, standard deviation, probability, matrix calculations, and more
- Learn to implement statistics in data science tasks such as data cleaning, mining, and analysis
- Learn the statistical techniques required to perform tasks such as linear regression, regularization, model assessment, boosting, SVMs,                                                                                                                                                                                                                                                                                                                                                                                                                                                       and working with neural networks
- Get comfortable with performing various statistical computations for data science programmatically

Data science is an ever-evolving field, which is growing in popularity at an exponential rate. Data science includes techniques and theories extracted from the fields of statistics; computer science, and, most importantly, machine learning, databases, data visualization, and so on.

This book takes you through an entire journey of statistics, from knowing very little to becoming comfortable in using various statistical methods for data science tasks. It starts off with simple statistics and then move on to statistical methods that are used in data science algorithms. The R programs for statistical computation are clearly explained along with logic. You will come across various mathematical concepts, such as variance, standard deviation, probability, matrix calculations, and more. You will learn only what is required to implement statistics in data science tasks such as data cleaning, mining, and analysis. You will learn the statistical techniques required to perform tasks such as linear regression, regularization, model assessment, boosting, SVMs, and working with neural networks.

By the end of the book, you will be comfortable with performing various statistical computations for data science programmatically.

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关键词:Data Science Statistics statistic Science Statist

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maplewoodmap 发表于 2018-8-16 23:56:38 |显示全部楼层 |坛友微信交流群
good good good

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chuxuezhe001 发表于 2018-8-17 00:06:22 |显示全部楼层 |坛友微信交流群
谢谢分享

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破晓之翼 发表于 2018-8-17 00:26:48 |显示全部楼层 |坛友微信交流群
谢谢分享

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bearfighting 发表于 2018-8-17 01:20:38 |显示全部楼层 |坛友微信交流群
好书啊,十分感谢

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kavakava 在职认证  发表于 2018-8-17 01:20:55 |显示全部楼层 |坛友微信交流群
Thanks

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smartlife 在职认证  发表于 2018-8-17 01:25:01 |显示全部楼层 |坛友微信交流群
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zhou_yl 发表于 2018-8-17 02:40:41 来自手机 |显示全部楼层 |坛友微信交流群
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xjg 发表于 2018-8-17 03:34:37 来自手机 |显示全部楼层 |坛友微信交流群
good job. thanks a lot.

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nivastuli 发表于 2018-8-17 05:13:07 |显示全部楼层 |坛友微信交流群
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