MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02031nam a2200241Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
NULRC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250520103029.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250520s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781801819312 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
NULRC |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA 76.73.P98 .R37 2022 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Raschka, Sebastian |
| Relator term |
author |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Machine Learning with PyTorch and Scikit-Learn : |
| Remainder of title |
develop machine learning and deep learning models with Python / |
| Statement of responsibility, etc. |
Sebastian Raschka, Yuxi (Hayden) Liu and Vahid Mirjalili |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Birmingham, UK : |
| Name of publisher, distributor, etc. |
Packt Publishing, Limited, |
| Date of publication, distribution, etc. |
c2022 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxix, 741 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
USD47 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Giving Computers the Ability to Learn from Data -- Training Simple Machine Learning Algorithms for Classification -- A Tour of Machine Learning Classifiers Using Scikit-Learn -- Building Good Training Datasets - Data Preprocessing -- Compressing Data via Dimensionality Reduction -- Learning Best Practices for Model Evaluation and Hyperparameter Tuning -- Combining Different Models for Ensemble Learning -- Applying Machine Learning to Sentiment Analysis -- Predicting Continuous Target Variables with Regression Analysis -- Working with Unlabeled Data - Clustering Analysis -- Implementing a Multilayer Artificial Neural Network from Scratch. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
DATA MANING |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Liu, Yuxi (Hayden) ;Mirjalili, Vahid |
| Relator term |
co-author;co-author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Books |
