Practical Data Science 免积分下载

本书教授如何构建可重复使用的数据科学技术堆栈,将数据湖转化为业务价值。涵盖数据科学与工程基本概念,掌握从数据湖提取业务知识的实用方法。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

图书说明:

了解如何使用可重复的方法构建数据科学技术堆栈并执行良好的数据科学。您将学习如何将数据湖转换为业务资产。

实用数据科学中展示的数据科学技术堆栈是由业内通用的组件构建的。数据科学家Andreas Vermeulen详细演示了如何构建和提供技术堆栈以产生可重复的结果。他向您展示了如何应用实用方法从数据湖中提取可操作的业务知识,数据湖包含来自多种数据类型和维度的数据。

你将学到什么

  • 熟练掌握数据科学和数据工程的基本概念和术语
  • 构建和使用符合行业标准的技术堆栈
  • 掌握检索可操作的业务知识的方法
  • 协调数据湖中多语言数据类型的处理,以获得可重复的结果

本书适用于谁

数据科学家和数据工程师需要将数据湖中的数据转换为可操作的业务知识,以及渴望成为数据科学家和数据工程师的学生

下载地址: Practical Data Science

 

更多免积分电子书,请访问:IE布克斯网

Practical Data Science with Python 3: Synthesizing Actionable Insights from Data Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. Along the way, you will be introduced to many popular open-source frameworks, like, SciPy, scikitlearn, Numba, Apache Spark, etc. The book is structured around examples, so you will grasp core concepts via case studies and Python 3 code. As data science projects gets continuously larger and more complex, software engineering knowledge and experience is crucial to produce evolvable solutions. You'll see how to create maintainable software for data science and how to document data engineering practices. This book is a good starting point for people who want to gain practical skills to perform data science. All the code will be available in the form of IPython notebooks and Python 3 programs, which allow you to reproduce all analyses from the book and customize them for your own purpose. You'll also benefit from advanced topics like Machine Learning, Recommender Systems, and Security in Data Science. Practical Data Science with Python will empower you analyze data, formulate proper questions, and produce actionable insights, three core stages in most data science endeavors. What You'll Learn Play the role of a data scientist when completing increasingly challenging exercises using Python 3 Work work with proven data science techniques/technologies Review scalable software engineering practices to ramp up data analysis abilities in the realm of Big Data Apply theory of probability, statistical inference, and algebra to understand the data science practices Who This Book Is For Anyone who would like to embark into the realm of data science using Python 3.
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值