Data science:

Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Getting Started with Data Science -- Chapter 1 Wrapping Your Head Around Data Science -- Seeing Who Ca...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Pierson, Lillian (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hoboken, NJ for dummies, a Wiley brand [2021]
Ausgabe:3rd edition
Schlagworte:
Online-Zugang:TUM01
Cover
Inhaltsverzeichnis
Zusammenfassung:Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Getting Started with Data Science -- Chapter 1 Wrapping Your Head Around Data Science -- Seeing Who Can Make Use of Data Science -- Inspecting the Pieces of the Data Science Puzzle -- Collecting, querying, and consuming data -- Applying mathematical modeling to data science tasks -- Deriving insights from statistical methods -- Coding, coding, coding - it's just part of the game -- Applying data science to a subject area -- Communicating data insights -- Exploring Career Alternatives That Involve Data Science -- The data implementer -- The data leader -- The data entrepreneur -- Chapter 2 Tapping into Critical Aspects of Data Engineering -- Defining Big Data and the Three Vs -- Grappling with data volume -- Handling data velocity -- Dealing with data variety -- Identifying Important Data Sources -- Grasping the Differences among Data Approaches -- Defining data science -- Defining machine learning engineering -- Defining data engineering -- Comparing machine learning engineers, data scientists, and data engineers -- Storing and Processing Data for Data Science -- Storing data and doing data science directly in the cloud -- Storing big data on-premise -- Processing big data in real-time -- Part 2 Using Data Science to Extract Meaning from Your Data -- Chapter 3 Machine Learning Means . . . Using a Machine to Learn from Data -- Defining Machine Learning and Its Processes -- Walking through the steps of the machine learning process -- Becoming familiar with machine learning terms -- Considering Learning Styles -- Learning with supervised algorithms -- Learning with unsupervised algorithms -- Learning with reinforcement -- Seeing What You Can Do
Beschreibung:Description based on publisher supplied metadata and other sources
Beschreibung:1 Online-Ressource (xii, 416 Seiten) Illustrationen, Diagramme
ISBN:9781119811664
9781119811619