The Beginner’s Guide to Data Science


The Beginner's Guide to Data Science 1st ed. 2022 Edition
by Robert Ball,Brian Rague
Publisher Finelybook 出版社: ; 1st ed. 2022 edition (November 16, 2022)
Language 语言: English
pages 页数: 259 pages
ISBN-10 书号: 3031078640
ISBN-13 书号: 9783031078644


Book Description
This book discusses the principles and practical applications of data science, addressing key topics including data wrangling, statistics, machine learning, data visualization, natural language processing and time series analysis. Detailed investigations of techniques used in the implementation of recommendation engines and the proper selection of metrics for distance-based analysis are also covered.
Utilizing numerous comprehensive code examples, figures, and tables to help clarify and illuminate essential data science topics, the authors provide an extensive treatment and analysis of real-world questions, focusing especially on the task of determining and assessing answers to these questions as expeditiously and precisely as possible. This book addresses the challenges related to uncovering the actionable insights in “big data,” leveraging database and data collection tools such as web scraping and text identification.
This book is organized as 11 chapters, structured as independent treatments of the following crucial data science topics:
Data gathering and acquisition techniques including data creation
Managing, transforming, and organizing data to ultimately package the information into an accessible format ready for analysis
Fundamentals of descriptive statistics intended to summarize and aggregate data into a few concise but meaningful measurements
Inferential statistics that allow us to infer (or generalize) trends about the larger population based only on the sample portion collected and recorded
Metrics that measure some quantity such as distance, similarity, or error and which are especially useful when comparing one or more data observations
Recommendation engines representing a set of algorithms designed to predict (or recommend) a particular product, service, or other item of interest a user or customer wishes to buy or utilize in some manner
Machine learning implementations and associated algorithms, comprising core data science technologies with many practical applications, especially predictive analytics
Natural Language Processing, which expedites the parsing and comprehension of written and spoken language in an effective and accurate manner
Time series analysis, techniques to examine and generate forecasts about the progress and evolution of data over time
Data science provides the methodology and tools to accurately interpret an increasing volume of incoming information in order to discern patterns, evaluate trends, and make the right decisions. The results of data science analysis provide real world answers to real world questions. Professionals working on data science and business intelligence projects as well as advanced-level students and researchers focused on data science, computer science, business and mathematics programs will benefit from this book.

打赏
未经允许不得转载:finelybook » The Beginner’s Guide to Data Science

相关推荐

  • 暂无文章

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下

您的打赏,我们将继续给力更多优质内容

支付宝扫一扫打赏

微信扫一扫打赏