Go back
Agile Data Science 2.0 Building Full Stack Data Analytics Applications With Spark(1st Edition)
Authors:
Russell Jurney
Cover Type:Hardcover
Condition:Used
In Stock
Include with your book
Free shipping: April 30, 2024Popular items with books
Access to 3 Million+ solutions
Free ✝
Ask 10 Questions from expert
200,000+ Expert answers
✝ 7 days-trial
Total Price:
$0
List Price: $23.84
Savings: $23.84(100%)
Book details
ISBN: 1491960116, 978-1491960110
Book publisher: O'Reilly Media
Get your hands on the best-selling book Agile Data Science 2.0 Building Full Stack Data Analytics Applications With Spark 1st Edition for free. Feed your curiosity and let your imagination soar with the best stories coming out to you without hefty price tags. Browse SolutionInn to discover a treasure trove of fiction and non-fiction books where every page leads the reader to an undiscovered world. Start your literary adventure right away and also enjoy free shipping of these complimentary books to your door.
Agile Data Science 2.0 Building Full Stack Data Analytics Applications With Spark 1st Edition Summary: 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
Frequently Bought Together
Top Reviews for Books
Taiwo
( 4 )
"Delivery was considerably fast, and the book I received was in a good condition."