Had00b is a Big Data blog for readers ranging from n00bs to advanced.
We will discuss common algorithmic problems that arise in Big Data and explain solutions that apply to the MapReduce framework. We will discuss recommendation systems, pagerank, clustering, locality-sensitive hashing, and more, each of them with exciting applications and source code. We will also provide an introduction to the MapReduce framework and howtos on installation and deployment of Hadoop.
Our tutorials are not only meant to provide the solution for each problem but also a clear explanation of the concepts, challenges, and applications of the relevant topics. You will be learning algorithms and applications from many areas including machine learning, network analysis, graph algorithmics, and text processing.
Get ready for a series of exciting tutorials!
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