- Scala for Data Science
- Pascal Bugnion
- 261字
- 2021-07-23 14:33:00
About the Reviewers
Umanga Bista is machine learning and real-time analytics enthusiast from Kathmandu. He completed his bachelors in computer engineering in September, 2013. Since then, he has been working at LogPoint, a SEIM product and company. He primarily works on building statistical plugins and real time, scalable, and fault tolerant architecture to process multiterabyte scale log data streams for security analytics, intelligence, and compliance.
Radek Ostrowski is a freelance big data engineer with an educational background in high-performance computing. He specializes in building scalable real-time data collection and predictive analytics platforms. He has worked at EPCC, University of Edinburgh in data-related projects for many years. Additionally, he has contributed to the success of a game's startup—deltaDNA, co-built super-scalable backend for PlayStation 4 at Sony, helped to improve data processes at Expedia, and started a Docker revolution at Tesco Bank. He is currently working with Spark and Scala for Max2 Inc, an NYC-based startup that is building a community-powered venue discovery platform, offering personalized recommendations, curated and real-time information.
Yuanhang Wang is a data scientist with primary focus on DSL design. He has dabbled in several functional programming languages. He is particularly interested in machine learning and programming language theory. He is currently a data scientist at China Mobile Research Center, working on typed data processing engine and optimizer that is built on top of several big-data platforms.
Yuanhang Wang describes himself as an enthusiast of purely functional programming and neural networks. He obtained his master's degrees both in Harbin Institute of Technology, China and University of Pavia, Italy.
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