This book shows how to solve real data science problems with Hadoop and Spark. Authors Ofer Mendelevitch, Casey Stella, and Douglas Eadline draw on their experience with Hadoop and big data to bring together everything you need: high-level concepts, deep-dive techniques, real-world use cases, practical applications, and hands-on tutorials.
<ASIN:0134024141>
The essentials of data science and the modern Hadoop ecosystem are introduced, along with guidance on data ingestion, data cleansing, and visualization.
The book then moves on to focus on specific applications, including machine learning, predictive modeling for sentiment analysis, clustering for document analysis, anomaly detection, and natural language processing (NLP).
Author: Ofer Mendelevitch, Casey Stella, and Douglas Eadline Publisher: Addison Wesley Date: December 2016 Pages: 256 ISBN: 978-0134024141 Print: 0134024141 Kindle: B01N7G1M8J Audience: Data mining developers Level: Intermediate Category: Data Science
Covers:
- What data science is, how it has evolved, and how to plan a data science career
- How data volume, variety, and velocity shape data science use cases
- Hadoop and its ecosystem, including HDFS, MapReduce, YARN, and Spark
- Data importation with Hive and Spark
- Data quality, preprocessing, preparation, and modeling
- Visualization: surfacing insights from huge data sets
- Machine learning: classification, regression, clustering, and anomaly detection
- Algorithms and Hadoop tools for predictive modeling
- Cluster analysis and similarity functions
- Large-scale anomaly detection
- NLP: applying data science to human language
Related Articles
Reading Your Way Into Big Data
What is a Data Scientist and How Do I Become One?
Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.
To have new titles included in Book Watch contact BookWatch@i-programmer.info
Grace Hopper and the Invention of the Information Age
Author: Kurt W. Beyer Publisher: MIT Press, 2009 Pages: 408 ISBN:978-0262013109 Print: 026201310X Kindle: B00TQ4MY9Q Aimed at: Anyone interested in history of computing Rating: 4 Reviewed by: Sue Gee
|
The Book of R
Author: Tilman M. Davies Publisher: No Starch Press Pages:832 ISBN: 978-1593276515 Print:1593276516 Kindle: B01J92NR22 Audience: R Beginners To Intermediates Rating: 4 Reviewer: Mike James
Other books on R are either about programming or statistics - this one is about both [ ... ]
| More Reviews |
|