Agile Data Science 2.0: Buildi
Jurney, Russell
Venduto da SecondSale, Montgomery, IL, U.S.A.
Venditore AbeBooks dal 20 dicembre 2007
Usato - Brossura
Condizione: Usato - Molto buono
Quantità: 1 disponibili
Aggiungere al carrelloVenduto da SecondSale, Montgomery, IL, U.S.A.
Venditore AbeBooks dal 20 dicembre 2007
Condizione: Usato - Molto buono
Quantità: 1 disponibili
Aggiungere al carrelloItem in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Codice articolo 00090169823
Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they're to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools.
Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with Apache Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, and Apache Airflow. You'll learn an iterative approach that lets you quickly change the kind of analysis you're doing, depending on what the data is telling you. Publish data science work as a web application, and affect meaningful change in your organization.
Russell Jurney runs a boutique consultancy, Data Syndrome, specializing in building analytics products. He cut his data teeth in casino gaming, building web apps to analyze the performance of slot machines in the US and Mexico. After dabbling in entrepreneurship, interactive media and journalism, he moved to silicon valley to build analytics applications at scale at Ning and LinkedIn. He lives on the ocean, in the fog, in Pacifica, California with Bella the Data Dog.
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