Tracked shipping to New Zealand with premium packaging for just NZ$15 

Ship to
New Zealand
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Advanced Analytics With Pyspark: Patterns for Learning From Data at Scale Using Python and Spark
Type
Physical Book
Author
Publisher
Year
2022
Language
English
Pages
233
Format
Paperback
Dimensions
23.2 x 17.7 x 1.3 cm
Weight
0.40 kg.
ISBN13
9781098103651
Edition No.
1
Categories

Advanced Analytics With Pyspark: Patterns for Learning From Data at Scale Using Python and Spark

Sandy Ryza (Author) · Uri Laserson (Author) · Akash Tandon (Author) · O'reilly Media · Paperback

Advanced Analytics With Pyspark: Patterns for Learning From Data at Scale Using Python and Spark - Tandon, Akash ; Ryza, Sandy ; Laserson, Uri

New Book Imported to New Zealand
Delivery: 13 Aug - 19 Aug Shipping: 3 to 3 business days.
NZ$ 129.21
Import costs and 15% GST included in the price ✅
NZ$ 129.21

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Advanced Analytics With Pyspark: Patterns for Learning From Data at Scale Using Python and Spark "

The amount of data being generated today is staggering and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices in Spark programming. Data scientists Akash Tandon, Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills offer an introduction to the Spark ecosystem, then dive into patterns that apply common techniques-including classification, clustering, collaborative filtering, and anomaly detection, to fields such as genomics, security, and finance. This updated edition also covers NLP and image processing. If you have a basic understanding of machine learning and statistics and you program in Python, this book will get you started with large-scale data analysis. Familiarize yourself with Spark's programming model and ecosystem Learn general approaches in data science Examine complete implementations that analyze large public datasets Discover which machine learning tools make sense for particular problems Explore code that can be adapted to many uses

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews