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1. Time Series Analysis with Spark: A practical guide to processing, modeling, and forecasting time series with Apache Spark
by Yoni Ramaswami, Dael Williamson (Foreword by), Jan Govaere (Foreword by)
Seller Description: Master the fundamentals of time series analysis with Apache Spark and Databricks and uncover actionable insights at scale Key Features Quickly get started with your first models and explore the potential of Generative AI Learn how to use Apache Spark and Databricks for scalable time series solutions Establish best practices to ensure success from ... See More Details
2025, Packt Publishing Limited
ISBN-13: 9781803232256
Paperback, New
NV, USA
$43.34
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2. Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn
by Abdelaziz Testas
Seller Description: Migrate from pandas and scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a ... See More Details
2023, APress
ISBN-13: 9781484297506
Paperback, New
NV, USA
$42.36
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3. Machine Learning with PySpark: With Natural Language Processing and Recommender Systems
by Pramod Singh
Seller Description: 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 ... See More Details
2021, APress
ISBN-13: 9781484277768
Paperback, New
$47.18
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4. Machine Learning with PySpark: With Natural Language Processing and Recommender Systems
by Pramod Singh
Seller Description: 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 ... See More Details
2018, APress
ISBN-13: 9781484241301
Paperback
$110.12
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5. PySpark Cookbook: Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
by Denny Lee, Tomasz Drabas
Seller Description: Combine the power of Apache Spark and Python to build effective big data applications Key Features Perform effective data processing, machine learning, and analytics using PySpark Overcome challenges in developing and deploying Spark solutions using Python Explore recipes for efficiently combining Python and Apache Spark to process data Book ... See More Details
2018, Packt Publishing Limited
ISBN-13: 9781788835367
Paperback, New
$25.08
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6. Building High Integrity Applications with SPARK
by John W. McCormick, Peter C. Chapin
Seller Description: Software is pervasive in our lives. We are accustomed to dealing with the failures of much of that software - restarting an application is a very familiar solution. Such solutions are unacceptable when the software controls our cars, airplanes and medical devices or manages our private information. These applications must run without error. SPARK ... See More Details
2015, Cambridge University Press
ISBN-13: 9781107040731
Hardcover, New
$131.19