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Mastering Spark with R
If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache ...
Data Science for Public Policy
This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in order to further their application in the public sector. An expansion of the quantitative economics frameworks presented in policy and business schools, this book emphasizes the process of asking relevant questions to inform public policy. Its techniques and approaches emphasize data-driven practices, beginning with the basic programming paradigms that occupy the majority of an analyst’s time and advancing to the practical applications of statistical learning and machine learning. The text considers two divergent, competing perspectives to support its applications, incorporating techniques from both causal inference and prediction. Additionally, the book includes open-sourced data as well as live code, written in R and presented in notebook form, which readers can use and modify to practice working with data.
The Fulfillment of Promises Made
Yulin Yao is a native of China. He received his MD from the National Defense Medical Center in Taipei, Taiwan. He immigrated to New York City where he completed his postdoctoral training in internal medicine. He served at the U.S. Air Force Medical Center on Clark Air Force Base in the Philippines and was medical director for the Geriatric Unit at the Coatesville VA Medical Center in Pennsylvania. He practiced medicine in Kingston, New York, for twenty-five years where he also served as chair of the Medical Department at Benedictine Hospital. He loves to write and has many published short novels to his credit. He started his writing career in Taiwan during his college years, using the income to help pay his tuition. In 2006 and 2008, he won prizes for four short novels written in Chinese.
Claim Models
This collection of articles addresses the most modern forms of loss reserving methodology: granular models and machine learning models. New methodologies come with questions about their applicability. These questions are discussed in one article, which focuses on the relative merits of granular and machine learning models. Others illustrate applications with real-world data. The examples include neural networks, which, though well known in some disciplines, have previously been limited in the actuarial literature. This volume expands on that literature, with specific attention to their application to loss reserving. For example, one of the articles introduces the application of neural networ...
Biography Index
A cumulative index to biographical material in books and magazines.
Global Media Convergence and Cultural Transformation: Emerging Social Patterns and Characteristics
"This book aims to engage the complex relationship between technology, culture, and socio-economic elements by exploring it in a transnational, yet contextually grounded, framework, exploring diverse perspectives and approaches, from political economy to cultural studies, and from policy studies to ethnography"--Provided by publisher.
Sports Coverage
Note to Readers: Publisher does not guarantee quality or access to any included digital components if book is purchased through a third-party seller. This essential handbook for sports medicine clinicians combines resources from various United States and International Olympic Committee sporting guidelines; national and international youth, scholastic, collegiate, and professional associations; and real-world experience to provide the most up to date and relevant information needed to fulfill coverage duties for sporting events. Easy to read, concise, and complete, this guide is a one-stop reference for sideline medical coverage of nearly fifty sports. Geared for live event coverage, chapters...
Learning Spark
Data is bigger, arrives faster, and comes in a variety of formatsâ??and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently? Enter Apache Spark. Updated to include Spark 3.0, this second edition shows data engineers and data scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Through step-by-step walk-throughs, code snippets, and notebooks, youâ??ll be able to: Learn Python, SQL, Scala, or Java high-level Structured APIs Understand Spark operations and SQL Engine Inspect, tune, and debug Spark operations with Spark configurations and Spark UI Connect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models using MLflow
Newsweek
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