The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these tech…
This book teaches you about every component of the Elastic Stack - including Elasticsearch, Kibana, Logstash, and X-pack - with new and the updated features that are released with the 7.0 version. With the help of this book, you will be able to develop enterprise-grade distribut…
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Express Learning is a series of books designed as quick reference guides to important undergraduate computer courses. The organized and accessible format of these books allows students to learn important concepts in an easy-to-understand, question-and-answer format. These portab…
by Kitaev, A. Yu, Shen, A. H., Vyalyi, M. N.
fromGraduate studies in mathematics
This book presents a concise introduction to an emerging and increasingly important topic, the theory of quantum computing. The development of quantum computing exploded in 1994 with the discovery of its use in factoring large numbers--an extremely difficult and time-consuming p…
An introduction to a rapidly developing topic: the theory of quantum computing. Following the basics of classical theory of computation, the book provides an exposition of quantum computation theory. In concluding sections, related topics, including parallel quantum computation,…
This book provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. It contains a breakdown of each ML variant, explaining how it works and how it is used within certain industri…
What is machine learning? -- Planning machine learning -- Working with decision trees -- Bayesian networks -- Artificial neural networks -- Association rules learning -- Support vector machines -- Clustering -- Machine learning in real time with Spring XD -- Maching learning as …
