Machine Learning Pocket Reference: Working With Structured Data In Python (Record no. 43258)

MARC details
000 -LEADER
fixed length control field 01470nam a2200205Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230309s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789352138999
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 HAR
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Harrison, Matt
245 ## - TITLE STATEMENT
Title Machine Learning Pocket Reference: Working With Structured Data In Python
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Shroff Publishers & Distrib
Place of publication, distribution, etc Mumbai
Date of publication, distribution, etc 2019
300 ## - PHYSICAL DESCRIPTION
Extent 303
520 ## - SUMMARY, ETC.
Summary, etc With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.<br/><br/>Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You’ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics.<br/><br/>This pocket reference includes sections that cover:<br/><br/>Classification, using the Titanic dataset<br/>Cleaning data and dealing with missing data<br/>Exploratory data analysis<br/>Common preprocessing steps using sample data<br/>Selecting features useful to the model<br/>Model selection
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 Machine Learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element structured data
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Scikit-learn pipeline
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book

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