Advanced Analytics with PySpark
O'Reilly Media (Verlag)
978-1-0981-0365-1 (ISBN)
Data scientists Akash Tandon, Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills offer an introduction to the Spark ecosystem, then dive into patterns that apply common techniques--including classification, clustering, collaborative filtering, and anomaly detection--to fields such as genomics, security, and finance. This updated edition also covers NLP and image processing.
If you have a basic understanding of machine learning and statistics and you program in Python, this book will get you started with large-scale data analysis.
Familiarize yourself with Spark's programming model and ecosystem
Learn general approaches in data science
Examine complete implementations that analyze large public datasets
Discover which machine learning tools make sense for particular problems
Explore code that can be adapted to many uses
Akash Tandon is an independent consultant and experienced full-stack data engineer. Previously, he was a senior data engineer at Atlan, where he built software for enterprise data science teams. In another life, he had worked on data science projects for governments, and built risk assessment tools at a FinTech startup. As a student, he wrote open source software with the R project for statistical computing and Google. In his free time, he researches things for no good reason. Sandy Ryza is software engineer at Elementl. Previously, he developed algorithms for public transit at Remix and was a senior data scientist at Cloudera and Clover Health. He is an Apache Spark committer, Apache Hadoop PMC member, and founder of the Time Series for Spark project. Uri Laserson is founder & CTO of Patch Biosciences. Previously, he worked on big data and genomics at Cloudera. Sean Owen is a principal solutions architect focusing on machine learning and data science at Databricks. He is an Apache Spark committer and PMC member, and co-author Advanced Analytics with Spark. Previously, he was director of Data Science at Cloudera and an engineer at Google. Josh Wills is an independent data science and engineering consultant, the former head of data engineering at Slack and data science at Cloudera, and wrote a tweet about data scientists once.
Erscheinungsdatum | 28.06.2022 |
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Verlagsort | Sebastopol |
Sprache | englisch |
Maße | 178 x 232 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
ISBN-10 | 1-0981-0365-3 / 1098103653 |
ISBN-13 | 978-1-0981-0365-1 / 9781098103651 |
Zustand | Neuware |
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