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Key benefits

Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data

Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images

A hands-on guide to understanding the nature of data and how to turn it into insight

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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Can$73.99

Can$73.99

Can$64.99

Total Can$ 212.97

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Jose Arturo Mora Soto Feb 10, 2018

Becoming a data scientist is not trivial, definitely one of the firts steps is to learn how to manipulate data to obtain initial insights, I found this book a great source to start handling data with python, I really recommend this book but be aware that in order to have a better understanding you should need previous experience with python.

Amazon Verified review

Amazon Customer Oct 21, 2017

The authors may be experts in data analysis but they are not doing a good job of explaining it. If you are new to data analysis, this book will get you totally confused.

Practical Data Analysis: Pandas, MongoDB, Apache Spark, and more , Second Edition

What do you get with eBook?