• 设为首页
  • 点击收藏
  • 手机版
    手机扫一扫访问
    迪恩网络手机版
  • 关注官方公众号
    微信扫一扫关注
    公众号

PacktPublishing/Scala-Machine-Learning-Projects: Scala Machine Learning Projects ...

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

PacktPublishing/Scala-Machine-Learning-Projects

开源软件地址(OpenSource Url):

https://github.com/PacktPublishing/Scala-Machine-Learning-Projects

开源编程语言(OpenSource Language):

Scala 100.0%

开源软件介绍(OpenSource Introduction):

Scala Machine Learning Projects

This is the code repository for Scala Machine Learning Projects, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

About the Book

Machine learning has made huge impacts on academia and industry by turning data into actionable intelligence. Scala, on the other hand, has been observing a steady rise in adoption over the past few years, especially in the field of data science and analytics. This book is comprehended for data scientists, data engineers and deep learning enthusiasts who have a good background with complex numerical computing and want to know more hands-on machine learning application development.

So If you’re well versed in machine learning concepts and wants to expand your knowledge by delving into the practical implementation using the power of Scala, then this book is what you need! Through 11 end-to-end projects, you will be acquainted with the popular machine learning libraries such as Spark ML, H2O, MDP, DeepLearning4j, and MXNet.

At the end, you will be able to dominate numerical computing, deep learning, and functional programming to carry out complex numerical tasks to develop, build and deploy research or commercial projects in a production ready environment.

Instructions and Navigation

All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.

The code will look like the following:

def variantId(genotype: Genotype): String = {
val name = genotype.getVariant.getContigName
val start = genotype.getVariant.getStart
val end = genotype.getVariant.getEnd
s"$name:$start:$end"
}

This book is dedicated to developers, data analysts, and deep learning enthusiasts who do not have much background with complex numerical computations but want to know whatdeep learning is. A strong understanding of Scala and its functional programming conceptsis recommended. Some basic understanding and high-level knowledge of Spark ML, H2O, Zeppelin, DeepLearning4j, and MXNet would act as an added advantage in order to grasp this book. Additionally, basic know-how of build tools such as Maven and SBT is assumed. All the examples have been implemented using Scala on an Ubuntu 16.04 LTs 64-bit and Windows 10 64-bit. You will also need the following (preferably the latest versions): Apache Spark 2.0.0 (or higher) MXNet, Zeppelin, DeepLearning4j, and H2O (see the details in the chapter and in the supplied pom.xml files) Hadoop 2.7 (or higher) Java (JDK and JRE) 1.7+/1.8+ Scala 2.11.x (or higher) Eclipse Mars or Luna (latest) with Maven plugin (2.9+), Maven compiler plugin (2.3.2+), and Maven assembly plugin (2.4.1+) IntelliJ IDE SBT plugin and Scala Play Framework installed

Related Products




鲜花

握手

雷人

路过

鸡蛋
该文章已有0人参与评论

请发表评论

全部评论

专题导读
热门推荐
阅读排行榜

扫描微信二维码

查看手机版网站

随时了解更新最新资讯

139-2527-9053

在线客服(服务时间 9:00~18:00)

在线QQ客服
地址:深圳市南山区西丽大学城创智工业园
电邮:jeky_zhao#qq.com
移动电话:139-2527-9053

Powered by 互联科技 X3.4© 2001-2213 极客世界.|Sitemap