Cover Image

QR Code

Guide to teaching data science : an interdisciplinary approach

Main Author:	Hazzan, Orit
Other Authors:	Mike, Koby
Subjects:	Big data -- > Study and teaching Electronic data processing -- > Study and teaching Data mining -- > Study and teaching Database management -- > Study and teaching Electronic books
Online Access:	http://library.unisel.edu.my/web/guest/mylibrary

Similar Items

Big data for dummies
by: Hurwitz, Judith

Big data : principles and best practices of scalable real-time data systems
by: Marz, Nathan

Digital data integrity : the evolution from passive protection to active management
by: Little, David B
Published: (2007)

OCP Oracle9i database : fundamentals I exam guide
by: Couchman, Jason S
Published: (2002)

Data engineering : mining, information and intelligence

Data preparation for data mining
by: Pyle, Dorian
Published: (1999)

From concepts to code : introduction to data science
by: Tashman, Adam P

Data science for business : what you need to know about data mining and data-analytic thinking
by: Provost, Foster

Scientific data mining : a practical perspective
by: Kamath, Chandrika
Published: (2009)

Time granularities in databases, data mining, and temporal reasoning
by: Bettini, Claudio
Published: (2000)

The auditor's guide to blockchain technology : architecture, use cases, security and assurance
by: Aghili, Shaun

Apply data science : introduction, applications and projects

Data mining explained : a manager's guide to customer-centric business intelligence
by: Delmater, Rhonda
Published: (2001)

Big data in cognitive science

Practical text mining with Perl
by: Bilisoly, Roger
Published: (2008)

Analysis and visualization of discrete data using neural networks
by: Koyamada, Koji

Computer science : an overview
by: Brookshear, J Glenn

Computer science : an overview
by: Brookshear, J. Glenn

Data warehousing, data mining & OLAP
by: Berson, Alex
Published: (1997)

Architecting modern data platforms : a guide to enterprise Hadoop at scale
by: Kunigk, Jan

Machine learning models and algorithms for big data classification : thinking with examples for effective learning
by: Suthaharan, Shan
Published: (2016)

Spectral feature selection for data mining
by: Alan, Zheng Zhao

Microsoft azure architect technologies and design complete study guide : exams az-303 and az-304
by: Panek, Crystal

AWS Certified Cloud Practitioner exam guide : Build your cloud computing knowledge and build your skills as an AWS Certified Cloud Practitioner (CLF-C01)
by: Daswani, Rajesh

Build a career in data science
by: Robinson, Emily

Handbook of big data analytics

Security analytics : a data centric approach to information security

Text analytics : an introduction to the science and applications of unstructured information analysis
by: Atkinson-Abutridy, John

Big data mining and complexity
by: Castellani, Brian C

Meta-analytics : consensus approaches and system patterns for data analysis
by: Simske, Steven J.

Data + journalism : a story-driven approach to learning data reporting
by: Reilley, Mike

Data mining cookbook : modeling data for marketing, risk, and customer relationship management
by: Rud, Olivia Parr
Published: (2001)

The DataOps revolution : delivering the data-driven enterprise
by: Trewin, Simon

Machine learning and big data with kdb+/q

Kernelization : theory of parameterized preprocessing
by: Fomin, Fedor V

Introduction to machine learning with Python : a guide for data scientists
by: Muller, Andreas C
Published: (2017)

Graph databases : applications on social media analytics and smart cities

Privacy-aware knowledge discovery : novel applications and new techniques
Published: (2011)

Data science -- analytics and applications

Data science : analytics and applications : proceedings of the 5th International Data Science Conference--iDSC2023