Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service.
This book explains the basic data algorithms without the theoretical jargon, and you’ll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.
- Learn how to turn data into real insight
- Explore various concrete examples by mixing data and algorithms to discover the things we don’t know that we don’t know
- Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images
Practical Data Analysis – Second Edition-P2P
English | 2016 | PDF/EPUB/MOBI | 350 pages | 20.54 MB/27.51 MB/35.04 MB