Книга Machine Learning with PySpark. 2nd Ed. Pramod Singh (english)

Цена: 1600 грн.

Автор: Pramod Singh
Издательство: Apress
Язык: Английский
Год издания: 2022
Формат: 254 х 178 х 13 мм
Количество страниц: 220

В наличии

Артикул: 9781484277768 Категории: , Product ID: 59731

Master the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable machine learning models, to natural language processing, to recommender systems.

Machine Learning with PySpark, Second Edition begins with the fundamentals of Apache Spark, including the latest updates to the framework. Next, you will learn the full spectrum of traditional machine learning algorithm implementations, along with natural language processing and recommender systems. You’ll gain familiarity with the critical process of selecting machine learning algorithms, data ingestion, and data processing to solve business problems. You’ll see a demonstration of how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forests. You’ll also learn how to automate the steps using Spark pipelines, followed by unsupervised models such as K-means and hierarchical clustering. A section on Natural Language Processing (NLP) covers text processing, text mining, and embeddings for classification. This new edition also introduces Koalas in Spark and how to automate data workflow using Airflow and PySpark’s latest ML library.

After completing this book, you will understand how to use PySpark’s machine learning library to build and train various machine learning models, along with related components such as data ingestion, processing and visualization to develop data-driven intelligent applications

You will:

Build a spectrum of supervised and unsupervised machine learning algorithms
Use PySpark’s machine learning library to implement machine learning and recommender systems
Leverage the new features in PySpark’s machine learning library
Understand data processing using Koalas in Spark
Handle issues around feature engineering, class balance, bias and variance, and cross validation to build optimally fit models

Вес 0.46 kg
Габариты 254 × 178 × 13 mm
Автор

Pramod Singh

Видавництво

Apress

Мова

Рік видання

2022

Кількість сторінок

220

Ілюстрації

Черно-белые

Формат

254 х 178 х 13 мм

Папір

офсетная

ISBN

9781484277768

Штрихкод

9781484277768

Палітурка

мягкий