Shuen Mei's Books

Apache Spark 2: Data Processing and Real-Time Analytics

Master complex big data processing, stream analytics, and machine learning with Apache Spark

By: Romeo Kienzler,Md. Rezaul Karim,Sridhar Alla,Siamak Amirghodsi,Meenakshi Rajendran,Broderick Hall,Shuen Mei

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Apache Spark 2: Data Processing and Real-Time Analytics

Master complex big data processing, stream analytics, and machine learning with Apache Spark

By: Romeo Kienzler,Md. Rezaul Karim,Sridhar Alla,Siamak Amirghodsi,Meenakshi Rajendran,Broderick Hall,Shuen Mei

Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework Key FeaturesMaster the art of real-time big data processing and machine learning Explore a wide range of use-cases to analyze large data Discover ways to optimize your work by using many features of Spark 2.x and ScalaBook Description Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more. With this Learning Path, you can take your knowledge of Apache Spark to the next level by learning how to expand Spark's functionality and building your own data flow and machine learning programs on this platform. You will work with the different modules in Apache Spark, such as interactive querying with Spark SQL, using DataFrames and datasets, implementing streaming analytics with Spark Streaming, and applying machine learning and deep learning techniques on Spark using MLlib and various external tools. By the end of this elaborately designed Learning Path, you will have all the knowledge you need to master Apache Spark, and build your own big data processing and analytics pipeline quickly and without any hassle. This Learning Path includes content from the following Packt products: Mastering Apache Spark 2.x by Romeo KienzlerScala and Spark for Big Data Analytics by Md. Rezaul Karim, Sridhar AllaApache Spark 2.x Machine Learning Cookbook by Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen MeiCookbookWhat you will learnGet to grips with all the features of Apache Spark 2.xPerform highly optimized real-time big data processing Use ML and DL techniques with Spark MLlib and third-party toolsAnalyze structured and unstructured data using SparkSQL and GraphXUnderstand tuning, debugging, and monitoring of big data applications Build scalable and fault-tolerant streaming applications Develop scalable recommendation enginesWho this book is for If you are an intermediate-level Spark developer looking to master the advanced capabilities and use-cases of Apache Spark 2.x, this Learning Path is ideal for you. Big data professionals who want to learn how to integrate and use the features of Apache Spark and build a strong big data pipeline will also find this Learning Path useful. To grasp the concepts explained in this Learning Path, you must know the fundamentals of Apache Spark and Scala.

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604

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Packt Publishing Ltd

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ISBN 10

1789959918

ISBN 13

9781789959918

Apache Spark 2.x Machine Learning Cookbook

By: Siamak Amirghodsi,Meenakshi Rajendran,Broderick Hall,Shuen Mei

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Apache Spark 2.x Machine Learning Cookbook

By: Siamak Amirghodsi,Meenakshi Rajendran,Broderick Hall,Shuen Mei

Simplify machine learning model implementations with Spark About This Book Solve the day-to-day problems of data science with Spark This unique cookbook consists of exciting and intuitive numerical recipes Optimize your work by acquiring, cleaning, analyzing, predicting, and visualizing your data Who This Book Is For This book is for Scala developers with a fairly good exposure to and understanding of machine learning techniques, but lack practical implementations with Spark. A solid knowledge of machine learning algorithms is assumed, as well as hands-on experience of implementing ML algorithms with Scala. However, you do not need to be acquainted with the Spark ML libraries and ecosystem. What You Will Learn Get to know how Scala and Spark go hand-in-hand for developers when developing ML systems with Spark Build a recommendation engine that scales with Spark Find out how to build unsupervised clustering systems to classify data in Spark Build machine learning systems with the Decision Tree and Ensemble models in Spark Deal with the curse of high-dimensionality in big data using Spark Implement Text analytics for Search Engines in Spark Streaming Machine Learning System implementation using Spark In Detail Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability, and optimization. Learning about algorithms enables a wide range of applications, from everyday tasks such as product recommendations and spam filtering to cutting edge applications such as self-driving cars and personalized medicine. You will gain hands-on experience of applying these principles using Apache Spark, a resilient cluster computing system well suited for large-scale machine learning tasks. This book begins with a quick overview of setting up the necessary IDEs to facilitate the execution of code examples that will be covered in various chapters. It also highlights some key issues developers face while working with machine learning algorithms on the Spark platform. We progress by uncovering the various Spark APIs and the implementation of ML algorithms with developing classification systems, recommendation engines, text analytics, clustering, and learning systems. Toward the final chapters, we'll focus on building high-end applications and explain various unsupervised methodologies and challenges to tackle when implementing with big data ML systems. Style and approach This book is packed with intuitive recipes supported with line-by-line explanations to help you understand how to optimize your work flow and resolve problems when working with complex data modeling tasks and predictive algorithms. This is a valuable resource for data scientists and those working on large scale data projects.

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658

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Packt Publishing Ltd

Published Date

ISBN 10

1782174605

ISBN 13

9781782174608

Ghost Forest

A Novel

By: Pik-Shuen Fung

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Ghost Forest

A Novel

By: Pik-Shuen Fung

This “powerful” (BuzzFeed) award-winning debut about love, grief, and family welcomes you into its pages and invites you to linger, staying with you long after you’ve closed its covers. “Quietly moving . . . connected by a kind of dream logic . . . deeply felt . . . There is joy and tenderness in . . . Fung’s elegant storytelling.”—The New York Times Book Review How do you grieve, if your family doesn’t talk about feelings? This is the question the unnamed protagonist of GhostForest considers after her father dies. One of the many Hong Kong “astronaut” fathers, he stays there to work, while the rest of the family immigrated to Canada before the 1997 Handover, when the British returned sovereignty over Hong Kong to China. As she revisits memories of her father through the years, she struggles with unresolved questions and misunderstandings. Turning to her mother and grandmother for answers, she discovers her own life refracted brightly in theirs. Buoyant and heartbreaking, Ghost Forest is a slim novel that envelops the reader in joy and sorrow. Fung writes with a poetic and haunting voice, layering detail and abstraction, weaving memory and oral history to paint a moving portrait of a Chinese-Canadian astronaut family. “Ghost Forest is the tender/funny book we can all appreciate after a hellish year.”—Literary Hub

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Page Count

212

Publisher

One World

Published Date

ISBN 10

0593230973

ISBN 13

9780593230978

A Primer Of Child And Adolescent Psychiatry

By: Yiming Cai,Daniel Shuen Sheng Fung

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A Primer Of Child And Adolescent Psychiatry

By: Yiming Cai,Daniel Shuen Sheng Fung

This unique volume chronicles the combined experiences of the multidisciplinary team on the clinical practice of child and adolescent psychiatry. A culmination of the authors' past 37 years of training medical students and other allied health trainees, this text is designed with the needs of the busy clinician in mind. Its broad coverage of the subject, the use of relevant clinical histories and findings to illustrate key points, as well as discussions on common treatment side effects make it a very helpful and practical book.Medical students in their third through final years; trainees in psychiatry, psychology, and social work; psychologists; teacher counselors; medical social workers; pediatricians interested in child mental health; and family physicians will find this book particularly useful and stimulating.

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Page Count

507

Publisher

World Scientific Publishing Company

Published Date

ISBN 10

9813101393

ISBN 13

9789813101395

Apache Spark 2.x Machine Learning Cookbook

By: Siamak Amirghodsi,Meenakshi Rajendran,Broderick Hall,Shuen Mei

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Apache Spark 2.x Machine Learning Cookbook

By: Siamak Amirghodsi,Meenakshi Rajendran,Broderick Hall,Shuen Mei

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Solve jigsaw puzzle

Age

Page Count

658

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1782174605

ISBN 13

9781782174608

Apache Spark 2: Data Processing and Real-Time Analytics

Master complex big data processing, stream analytics, and machine learning with Apache Spark

By: Romeo Kienzler,Md. Rezaul Karim,Sridhar Alla,Siamak Amirghodsi,Meenakshi Rajendran,Broderick Hall,Shuen Mei

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Apache Spark 2: Data Processing and Real-Time Analytics

Master complex big data processing, stream analytics, and machine learning with Apache Spark

By: Romeo Kienzler,Md. Rezaul Karim,Sridhar Alla,Siamak Amirghodsi,Meenakshi Rajendran,Broderick Hall,Shuen Mei

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

604

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1789959918

ISBN 13

9781789959918

Book's by Shuen Mei

Apache Spark 2: Data Processing and Real-Time Analytics

Apache Spark 2: Data Processing and Real-Time Analytics

Apache Spark 2.x Machine Learning Cookbook

Apache Spark 2.x Machine Learning Cookbook

Ghost Forest

Ghost Forest

A Primer Of Child And Adolescent Psychiatry

A Primer Of Child And Adolescent Psychiatry

Apache Spark 2.x Machine Learning Cookbook

Apache Spark 2.x Machine Learning Cookbook

Apache Spark 2: Data Processing and Real-Time Analytics

Apache Spark 2: Data Processing and Real-Time Analytics

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