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عنوان
Python machine learning :

پدید آورنده
Sebastian Raschka, Vahid Mirjalili

موضوع
Python.

رده
QA76
.
73
.
P98
.
R373
2019

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
1789955750
(Number (ISBN
1789958296
(Number (ISBN
9781789955750
(Number (ISBN
9781789958294

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Python machine learning :
General Material Designation
[Book]
Other Title Information
machine learning and deep learning with python, scikit-learn, and tensorflow 2 /
First Statement of Responsibility
Sebastian Raschka, Vahid Mirjalili

EDITION STATEMENT

Edition Statement
Third edition

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Birmingham :
Name of Publisher, Distributor, etc.
Packt Publishing, Limited,
Date of Publication, Distribution, etc.
[2019]
Date of Publication, Distribution, etc.
©2019

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (xxi, 741 pages) :
Other Physical Details
illustrations

GENERAL NOTES

Text of Note
"Third edition includes TensorFlow 2, GANS, and reinforcement learning"--Cover
Text of Note
Includes index

CONTENTS NOTE

Text of 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 sets-data preprocessing -- Compressing data via dimensionality reduction -- Learning best practices for model evaluation and hyperparmeter tuning -- Combining different models for ensemble learning -- Applying machine learning to sentiment analysis -- Embedding a machine learning model into a web application -- Predicting continuous target variables with regression analysis -- Working with unlabeled data-clustering analysis -- Implementing a multilayer artificial neural network from Scratch -- Parallelizing neural network training with TensorFlow -- Going deeper -- The mechanics of TensorFlow -- Classifying images with deep convolutional neural networks -- Modeling sequential data using recurrent neural networks -- Generative adversarial networks for synthesizing new data -- Reinforcement learning for decision making in complex environments
0

SUMMARY OR ABSTRACT

Text of Note
Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. This new third edition is updated for TensorFlow 2 and the latest additions to ...

OTHER EDITION IN ANOTHER MEDIUM

Title
Python machine learning.
International Standard Book Number
9781789955750

TOPICAL NAME USED AS SUBJECT

Python.

DEWEY DECIMAL CLASSIFICATION

Number
005
.
133
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA76
.
73
.
P98
Book number
.
R373
2019

PERSONAL NAME - PRIMARY RESPONSIBILITY

Raschka, Sebastian

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Mirjalili, Vahid

ORIGINATING SOURCE

Date of Transaction
20200823060745.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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