Description: Applied Data Science Using PySpark Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Learn the End-to-End Predictive Model-Building Cycle Author(s): Ramcharan Kakarla, Sundar Krishnan, Sridhar Alla Format: Paperback Publisher: APress, United States Imprint: APress ISBN-13: 9781484264997, 978-1484264997 Synopsis Discover the capabilities of PySpark and its application in the realm of data science. This comprehensive guide with hand-picked examples of daily use cases will walk you through the end-to-end predictive model-building cycle with the latest techniques and tricks of the trade. Applied Data Science Using PySpark is divided unto six sections which walk you through the book. In section 1, you start with the basics of PySpark focusing on data manipulation. We make you comfortable with the language and then build upon it to introduce you to the mathematical functions available off the shelf. In section 2, you will dive into the art of variable selection where we demonstrate various selection techniques available in PySpark. In section 3, we take you on a journey through machine learning algorithms, implementations, and fine-tuning techniques. We will also talk about different validation metrics and how to use them for picking the best models. Sections 4 and 5 go through machine learning pipelines and various methods available to operationalize the model and serve it through Docker/an API. In the final section, you will cover reusable objects for easy experimentation and learn some tricks that can help you optimize your programs and machine learning pipelines. By the end of this book, you will have seen the flexibility and advantages of PySpark in data science applications. This book is recommended to those who want to unleash the power of parallel computing by simultaneously working with big datasets. What You Will Learn Build an end-to-end predictive model Implement multiple variable selection techniques Operationalize models Master multiple algorithms and implementations Who This Book is For Data scientists and machine learning and deep learning engineers who want to learn and use PySpark for real-time analysis of streaming data.
Price: 37.33 GBP
Location: Aldershot
End Time: 2024-10-08T08:11:55.000Z
Shipping Cost: 26.38 GBP
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Book Title: Applied Data Science Using PySpark
Item Height: 254 mm
Item Width: 178 mm
Author: Sridhar Alla, Ramcharan Kakarla, Sundar Krishnan
Publication Name: Applied Data Science Using Pyspark: Learn the End-To-End Predictive Model-Building Cycle
Format: Paperback
Language: English
Publisher: Apress
Subject: Computer Science
Publication Year: 2020
Type: Textbook
Item Weight: 824 g
Number of Pages: 410 Pages
