عنوان

Machine learning with PySpark :

شابک

1484241304

شابک

1484241312

شابک

1484241320

شابک

148424799X

شابک

9781484241301

شابک

9781484241318

شابک

9781484241325

شابک

9781484247990

شابک اشتباه

9781484241301

عنوان اصلي

Machine learning with PySpark :

نام عام مواد

[Book]

ساير اطلاعات عنواني

with natural language processing and recommender systems /

نام نخستين پديدآور

Pramod Singh.

محل نشرو پخش و غیره

[Berkeley, CA] :

نام ناشر، پخش کننده و غيره

Apress,

تاریخ نشرو بخش و غیره

[2019]

تاریخ نشرو بخش و غیره

©2019

نام خاص و کميت اثر

1 online resource

متن يادداشت

Includes index.

متن يادداشت

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.

منبع سفارش / آدرس اشتراک

OverDrive, Inc.

شماره انبار

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

شماره استاندارد بين المللي کتاب و موسيقي

9781484241301

شماره استاندارد بين المللي کتاب و موسيقي

9781484241325

موضوع مستند نشده

Application software-- Development.

موضوع مستند نشده

Python (Computer program language)

موضوع مستند نشده

SPARK (Computer program language)

موضوع مستند نشده

Application software-- Development.

موضوع مستند نشده

COMPUTERS-- Databases-- Data Mining.

موضوع مستند نشده

Python (Computer program language)

موضوع مستند نشده

SPARK (Computer program language)

موضوع مستند نشده

COM-- 021030

موضوع مستند نشده

UYQ

موضوع مستند نشده

UYQ

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Singh, Pramod,1954-

تاريخ عمليات

20200823032543.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y