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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Programmiersprachen Applied Data Science Using PySpark
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Applied Data Science Using PySpark
Ramcharan Kakarla (Taschenbuch, Englisch)
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Beschreibung
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 streamingdata. Dieses Produkt haben wir gerade leider nicht auf Lager.
Handgeprüfte Gebrauchtware
Bis zu 50 % günstiger als neu
Der Umwelt zuliebe
Technische Daten
Erscheinungsdatum
18.12.2020
Sprache
Englisch
EAN
9781484264997
Herausgeber
APRESS
Sonderedition
Nein
Autor
Ramcharan Kakarla
Seitenanzahl
410
Auflage
1st edition
Einbandart
Taschenbuch
Buch Untertitel
Learn the End-to-End Predictive Model-Building Cycle
Schlagwörter
Data science in pyspark, pyspark machine learning, machine learning in pyspark, Pyspark, Machine Learning
Thema-Inhalt
UMX - Programmier- und Skriptsprachen, allgemein
UN - Datenbanken
UYQM - Maschinelles Lernen
Höhe
254 mm
Breite
17.8 cm
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