Content
1- Data science in a big data world 1
2- The data science process 22
3- Machine learning 57
4- Handling large data on a single computer 85
5- First steps in big data 119
6- Join the NoSQL movement 150
7- The rise of graph databases 190
8- Text mining and text analytics 218
9- Data visualization to the end user 253
Whom this book is for
This book is an introduction to the field of data science. Seasoned data scientists will see that we only scratch the surface of some topics. For our other readers, there are some prerequisites for you to fully enjoy the book. A minimal understanding of SQL,
Python, HTML5, and statistics or machine learning are recommended before you dive into the practical examples.
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