Principles of Data Science: Learn the techniques and math you need to start making sense of your data. (Record no. 51975)

MARC details
000 -LEADER
fixed length control field 01499 a2200169 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251201101300.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781785887918
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312 OZD
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Ozdemir, Sinan
245 ## - TITLE STATEMENT
Title Principles of Data Science: Learn the techniques and math you need to start making sense of your data.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Packt Publishing Ltd.
Date of publication, distribution, etc 2016
Place of publication, distribution, etc Mumbai
300 ## - PHYSICAL DESCRIPTION
Extent 369
520 ## - SUMMARY, ETC.
Summary, etc Principles of Data Science is created to help you join the dots between mathematics, programming, and business analysis. With this book, you'll feel confident about asking-and answering-complex and sophisticated questions of your data to move from abstract and raw statistics to actionable ideas.<br/><br/>With a unique approach that bridges the gap between mathematics and computer science, this books takes you through the entire data science pipeline. Beginning with cleaning and preparing data, and effective data mining strategies and techniques, you'll move on to build a comprehensive picture of how every piece of the data science puzzle fits together. Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts. You'll get to grips with machine learning, discover the statistical models that help you take control and navigate even the densest datasets, and find out how to create powerful visualizations that communicate what your data means.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Science
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

No items available.