Normal view MARC view ISBD view

Advanced data analytics using Python /

By: Mukhopadhyay, SayanMaterial type: Text

TextPublication details: [New York?] : Apress, ©2018Description: 186 pagesISBN: 9781484234495 (hard : alk. paper)Subject(s): Python (Computer program language) | Machine learning | Data miningDDC classification: 005.133

Contents:

Introduction -- ETL with Python (structured data) -- Supervised learning using Python -- Unsupervised learning : clustering -- Deep learning and neural networks -- Time series -- Analytics at scale.

Summary: "Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You'll also see practical examples of machine learning concepts such as semi-supervised learning, deep learning, computer vision and NLP. Practical Data Analytics with Python also covers important traditional data analysis techniques such as time series, principal component analysis through examples from real industry projects. After reading this book you will have experience of every technical aspect of an industrial analytics project. You'll get to know the concepts using Python code, thoroughly explained in each case."--

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 3 )
Comments ( 0 )

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Books	Main Library Reference	Reference	005.133 MUK (Browse shelf(Opens below))	Available		015849

Total holds: 0

Browsing Main Library shelves, Shelving location: Reference, Collection: Reference Close shelf browser (Hides shelf browser)

Previous			No cover image available					Next
Previous	005.133 MEL Sams teach yourself PHP, MYSQL and Apache : all in one	005.133 MIL MCSD Visual Basic 6 desktop applications study guide (Exams 70-176)	005.133 MOR Introduction to Basic	005.133 MUK Advanced data analytics using Python /	005.133 MUR Interactive data visualization for the web :	005.133 NAS Accelerated C♯ 2008	005.133 NEG Creating a presentation in PowerPoint	Next

Includes index.

Introduction --
ETL with Python (structured data) --
Supervised learning using Python --
Unsupervised learning : clustering --
Deep learning and neural networks --
Time series --
Analytics at scale.

"Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You'll also see practical examples of machine learning concepts such as semi-supervised learning, deep learning, computer vision and NLP. Practical Data Analytics with Python also covers important traditional data analysis techniques such as time series, principal component analysis through examples from real industry projects. After reading this book you will have experience of every technical aspect of an industrial analytics project. You'll get to know the concepts using Python code, thoroughly explained in each case."--

There are no comments on this title.

to post a comment.