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عنوان
Machine learning using R :

پدید آورنده
Karthik Ramasubramanian, Abhishek Singh.

موضوع
Machine learning.,R (Computer program language),Machine learning.,R (Computer program language)

رده
Q325
.
5

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
1484242157
(Number (ISBN
9781484242155
Erroneous ISBN
1484242149
Erroneous ISBN
9781484242148

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Machine learning using R :
General Material Designation
[Book]
Other Title Information
with time series and industry-based uses in R /
First Statement of Responsibility
Karthik Ramasubramanian, Abhishek Singh.

EDITION STATEMENT

Edition Statement
Second edition.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
[New York, New York] :
Name of Publisher, Distributor, etc.
Apress,
Date of Publication, Distribution, etc.
[2019]

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (712 pages)

CONTENTS NOTE

Text of Note
Chapter 1: Introduction to Machine Learning -- Chapter 2: Data Exploration and Preparation -- Chapter 3: Sampling and Resampling Techniques -- Chapter 4: Visualization of Data -- Chapter 5: Feature Engineering -- Chapter 6: Machine Learning Models: Theory and Practice -- Chapter 7: Machine Learning Model Evaluation -- Chapter 8: Model Performance Improvement -- Chapter 9: Time Series Modelling -- Chapter 10: Scalable Machine Learning and related technology -- Chapter 11: Introduction to Deep Learning Models using Keras and TensorFlow.
0

SUMMARY OR ABSTRACT

Text of Note
Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R. As in the first edition, the authors have kept the fine balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics in machine learning. New chapters in this edition cover time series models and deep learning. You will: Understand machine learning algorithms using R Master the process of building machine-learning models Cover the theoretical foundations of machine-learning algorithms See industry focused real-world use cases Tackle time series modeling in R Apply deep learning using Keras and TensorFlow in R.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
OverDrive, Inc.
Stock Number
8DADDBAD-32CF-439C-97AD-75DD6B6A173F

OTHER EDITION IN ANOTHER MEDIUM

Title
Machine Learning Using R : With Time Series and Industry-Based Use Cases in R.
International Standard Book Number
9781484242148

TOPICAL NAME USED AS SUBJECT

Machine learning.
R (Computer program language)
Machine learning.
R (Computer program language)

DEWEY DECIMAL CLASSIFICATION

Number
006
.
3/1
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
Q325
.
5

PERSONAL NAME - PRIMARY RESPONSIBILITY

Ramasubramanian, Karthik

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Singh, Abhishek,1976-

ORIGINATING SOURCE

Date of Transaction
20200823032626.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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