[PDF] Practical Data Analysis - Second Edition

ISBN: 1785289713

Category: Tutorial

Posted on 2017-12-23, by luongquocchinh.


Author: Hector Cuesta | Publisher: Packt Publishing - ebooks Account | Category: Databases | Language: English | Page: 350 | ISBN: 1785289713 | ISBN13: 9781785289712 |

Description: Key Features 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 Book Description 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. What you will learn Acquire, format, and visualize your data Build an image-similarity search engine Generate meaningful visualizations anyone can understand Get started with analyzing social network graphs Find out how to implement sentiment text analysis Install data analysis tools such as Pandas, MongoDB, and Apache Spark Get to grips with Apache Spark Implement machine learning algorithms such as classification or forecasting

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