Description: About this Item The item is a book Paperback The Author Name is Russell Jurney The Title is Agile Data Science 2.0 : Building Full-Stack Data Analytics Applications with Spark Condition New Other Comments Pages Count - 349. Category - Computers Product Description - 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. Build value from your data in a series of agile sprints, using the data-value pyramid Extract features for statistical models from a single dataset Visualize data with charts, and expose different aspects through interactive reports Use historical data to predict the future via classification and regression Translate predictions into actions Get feedback from users after each sprint to keep your project on track We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167504982
Price: 82.53 USD
Location: US
End Time: 2024-11-22T12:33:28.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: Computers
Brand: O'Reilly Media
Weight: 0.55
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Title: Agile Data Science 2.0 Building Full-Stack Data Analytics Appli
Release Title: Agile Data Science 2.0 Building Full-Stack Data Analytics Appli
Record Grading: New
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Film/TV Title: Agile Data Science 2.0 Building Full-Stack Data Analytics Appl
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Movie/TV Title: Agile Data Science 2.0 Building Full-Stack Data Analytics Appl
UPC: 9781491960110
EAN: 9781491960110
ISBN: 9781491960110
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Metal: NA
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Number of Pages: 349 Pages
Publication Name: Agile Data Science 2. 0 : Building Full-Stack Data Analytics Applications with Spark
Language: English
Publisher: O'reilly Media, Incorporated
Subject: Software Development & Engineering / General, Data Modeling & Design, Data Processing, Databases / Data Mining
Publication Year: 2017
Item Height: 0.9 in
Item Weight: 22.2 Oz
Type: Textbook
Author: Russell Jurney
Subject Area: Computers
Item Length: 9.2 in
Item Width: 7 in
Format: Trade Paperback
