Indus University Library

Online Public Access Catalog (OPAC)

Introduction to Machine Learning with Python: A Guide for Data Scientists (Record no. 39167)

000 -LEADER
fixed length control field 01846nam a22001697a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260702b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789352134571
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Item number MUL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Muller, Andreas & Guido, Sarah
245 ## - TITLE STATEMENT
Title Introduction to Machine Learning with Python: A Guide for Data Scientists
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Navi Mumbai
Name of publisher, distributor, etc Shroff Publishers & Distributors Pvt. Ltd.
Date of publication, distribution, etc 2026
300 ## - PHYSICAL DESCRIPTION
Extent 378P.
365 ## - TRADE PRICE
Unit of pricing Rs. 1400.00
500 ## - GENERAL NOTE
General note Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.<br/><br/>You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas MŸller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.<br/><br/>With this book, you'll learn:<br/>Fundamental concepts and applications of machine learning<br/>Advantages and shortcomings of widely used machine learning algorithms<br/>How to represent data processed by machine learning, including which data aspects to focus on<br/>Advanced methods for model evaluation and parameter tuning<br/>The concept of pipelines for chaining models and encapsulating your workflow<br/>Methods for working with text data, including text-specific processing techniques<br/>Suggestions for improving your machine learning and data science skills
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science & Engineering
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Koha normalized classification for sorting Not for loan Collection code Koha itemnumber Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Checked out Date last seen Date last borrowed Koha item type
    Dewey Decimal Classification   005_133000000000000   CSE Department 41873 Indus Institute of Technology and Engineering (IITE) Indus Institute of Technology and Engineering (IITE) Book Rack 02/07/2026 Kushal Books Bill No. 170 Date: 29-06-2026   005.133 21135   02/07/2026   Books
    Dewey Decimal Classification   005_133000000000000   CSE Department 41871 Indus Institute of Technology and Engineering (IITE) Indus University Library (IULIB) Book Rack 02/07/2026 Kushal Books Bill No. 170 Date: 29-06-2026 1 005.133 21133 31/12/2026 04/07/2026 04/07/2026 Books
    Dewey Decimal Classification   005_133000000000000   CSE Department 41872 Indus Institute of Technology and Engineering (IITE) Indus University Library (IULIB) Book Rack 02/07/2026 Kushal Books Bill No. 170 Date: 29-06-2026 1 005.133 21134 01/08/2026 18/07/2026 18/07/2026 Books