Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re...
The Blockchain Developer: A Practical Guide for Designing, Implementing, Publishing, Testing, and Securing Distributed Blockchain-based Projects
Become a Blockchain developer and design, build, publish, test, maintain and secure scalable decentralized Blockchain projects using Bitcoin, Ethereum, NEO, EOS and Hyperledger.
This book helps you understand Blockchain beyond development and crypto to better harness its power and capability. You will learn...
Unsupervised Learning with R
Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data
About This Book
Unlock and discover how to tackle clusters of raw data through practical examples in R
Explore your data and create your own models from scratch...
Visual Data Mining: The VisMiner Approach
A visual approach to data mining.
Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when faced with the task of mining a large dataset, it is not always obvious where to start and how to proceed.
This book introduces a visual methodology for data...
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