عنوان

Machine learning with PySpark :

(Number (ISBN

1484241304

(Number (ISBN

1484241312

(Number (ISBN

1484241320

(Number (ISBN

148424799X

(Number (ISBN

9781484241301

(Number (ISBN

9781484241318

(Number (ISBN

9781484241325

(Number (ISBN

9781484247990

Erroneous ISBN

9781484241301

Title Proper

Machine learning with PySpark :

General Material Designation

[Book]

Other Title Information

with natural language processing and recommender systems /

First Statement of Responsibility

Pramod Singh.

Place of Publication, Distribution, etc.

[Berkeley, CA] :

Name of Publisher, Distributor, etc.

Apress,

Date of Publication, Distribution, etc.

[2019]

Date of Publication, Distribution, etc.

©2019

Specific Material Designation and Extent of Item

1 online resource

Text of Note

Includes index.

Text of Note

Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing and recommender systems using PySpark. Machine Learning with PySpark shows you how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forest. You'll also see unsupervised machine learning models such as K-means and hierarchical clustering. A major portion of the book focuses on feature engineering to create useful features with PySpark to train the machine learning models. The natural language processing section covers text processing, text mining, and embedding for classification. After reading this book, you will understand how to use PySpark's machine learning library to build and train various machine learning models. Additionally you'll become comfortable with related PySpark components, such as data ingestion, data processing, and data analysis, that you can use to develop data-driven intelligent applications. You will: Build a spectrum of supervised and unsupervised machine learning algorithms Implement machine learning algorithms with Spark MLlib libraries Develop a recommender system with Spark MLlib libraries Handle issues related to feature engineering, class balance, bias and variance, and cross validation for building an optimal fit model.

Source for Acquisition/Subscription Address

OverDrive, Inc.

Stock Number

20BA8036-C37B-4BEE-9B39-7679978B32E4

International Standard Book Number

9781484241301

International Standard Book Number

9781484241325

Application software-- Development.

Python (Computer program language)

SPARK (Computer program language)

Application software-- Development.

COMPUTERS-- Databases-- Data Mining.

Python (Computer program language)

SPARK (Computer program language)

COM-- 021030

UYQ

UYQ

Number

Edition

Class number

Singh, Pramod,1954-

Date of Transaction

20200823032543.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y