secondary-account-menu

Profile

Orders

Wish List

Fast Order Entry

My Account

header

mega-menu

Browse by Institution Type

Browse by Product Type

Products

Support

footer-menu

Academic Institutions

K-12

Public Libraries

Government and Special Libraries

Statewide Programs

Institutions

Databases

Primary Sources

Digital Humanities Tools

eLearning

Schools/K-12 Curriculum

Books

Large Print Books by Thorndike Press

Find Your Rep

Product Support

Technical Support

Customer Support

Admin Tools

Accessibility Policy

About Us

Blogs

Press Center

Events

News

Careers

Partnerships

Contact Us

Our Company

secondary-storefront-menu

products

Marketing materials, training documents, discovery services

cengage:card

FIND YOUR SALES REPRESENTATIVE

cengage:column

Get marketing materials, training documents, discovery services.

PRODUCT SUPPORT

CUSTOMER SUPPORT

Report technical issues, errors, check system status

TECHNICAL SUPPORT

Manage product preferences, generate usage reports, simplify administrative tasks.

ADMIN TOOLS

support

cengage:galethorndikeseo

container

single-column

secondary-primary-menu

Request a Trial

zone1

footer

config

gale-footer

Account Information

bundle-connector

%1 products have been added to your cart but %2 have been backordered and will be fulfilled when stock is available

Product on backorder

Current quantity limit is [maxProductQuantity], please, navigate to the cart page and change quantity of product

You will be able to resubmit promo in ${countdown} seconds. test

Please note that the taxes displayed on our website are estimated and subject to adjustment. The actual tax charges will be determined and settled during the final invoicing of your order

product-detail-component

FIND YOUR REP

support-order-2

Would you like to go to the Gale {{RECOMMENDED_COUNTRY}} site instead?

It looks like you're visiting from {{DETECTED_COUNTRY}}.

main

International

North America

China

Japan

Latin America

Brazil

Region

Set your region:

zone2

footer-legal-menu

Terms of use

Privacy

footer-social-menu

Sign Up for Emails

CONNECT WITH GALE

Stay up-to-date with the latest Gale news, exclusive offers, and more.

facebook

linkedin

instagram

youtube

SOCIAL ICONS

zone3

You may already have access to Gale content through your institution.

STUDENTS AND RESEARCHERS

support-order-1

header-component

footer-menu-component

footer-legal-menu-component

footer-social-menu-component

TRNSACT CMPTTNL SCI INTLLGNC: PRINCIPLS OF DATA SCIENCE

Information Technology

Computing & Information Technology

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

<P>This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists’ preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science. Introduces various techniques, methods, and algorithms adopted by Data Science experts; provides a detailed explanation of data science perceptions, reinforced by practical examples; presents a road map of future trends suitable for innovative data science research and practice.</P>

Principles of Data Science

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Other Frontmatter.
Other Frontmatter.
Title Page.
Copyright Page.
Preface.
Acknowledgments.
Contents.
About the Editors.
1: Simulation-Based Data Acquisition.
2: Coding of Bits for Entities by Means of Discrete Events (CBEDE): A Method of Compression and Transmission of Data.
3: Big Biomedical Data Engineering.
4: Big Data Preprocessing: An Application on Online Social Networks.
5: Feature Engineering.
6: Data Summarization Using Sampling Algorithms: Data Stream Case Study.
7: Fast Imputation: An Algorithmic Formalism.
8: A Scientific Perspective on Big Data in Earth Observation.
9: Visualizing High-Dimensional Data Using t-Distributed Stochastic Neighbor Embedding Algorithm.
10: Active and Machine Learning for Earth Observation Image Analysis with Traditional and Innovative Approaches.
11: Applications in Financial Industry: Use-Case for Fraud Management.
12: Stochastic Analysis for Short- and Long-Term Forecasting of Latin American Country Risk Indexes.
Correction to: Principles of Data Science.
Index.

Principles of Data Science.css-1p8rvzy{position:absolute;padding-left:8px;}

Principles of Data Science