Jared Dean – författare
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2 produkter
2 produkter
Big Data, Data Mining, and Machine Learning
Value Creation for Business Leaders and Practitioners
Inbunden, Engelska, 2014
434 kr
Skickas inom 7-10 vardagar
With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency.With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Big data analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, and practitioners require, and includes: A complete overview of big data and its notable characteristicsDetails on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databasesComprehensive coverage of data mining, text analytics, and machine learning algorithmsA discussion of explanatory and predictive modeling, and how they can be applied to decision-making processesBig Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic. Take control of your organization's big data analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.
Big Data, Data Mining, and Machine Learning
Value Creation for Business Leaders and Practitioners
Inbunden, Engelska, 2030
401 kr
Kommande
This book provides a comprehensive overview on the recent trend toward high performance computing architectures especially as it relates to analytics, data mining, and machine learning. Topics that are covered include: big data (and its characteristics), high performance computing for analytics, massively parallel processing (MPP) databases, algorithms for big data, in-memory databases, implementation of machine learning algorithms for big data platforms, and analytics environments. However, none gives a historical and comprehensive view of all these separate topics in a single document. Through the understanding of these topics corporations can create an ideal analytic environment that is better suited to the challenges of today's analytics demands.The book is organized in three parts:Part 1 is designed to introduce the concepts and vocabulary to educate the reader on the current buzz in the area and the tradeoffs or limitations of certain technology and what factors should influence their choices.Part 2 focus on the techniques and methods that can be used with a corporation’s data to turn it into value.Part 3 will be a set of detailed Case Studies.Updates to this edition include:Update introductionAdd and update sections in Part 1 about cloud computing, virtualized technology (containers), functions as a service (FAAS), and DevOps methodology.Add a section on Deep Learning in Part 2. This section will cover convolutional neural networks (CNN) which are generally used for computer vision applications and recurrent neural networks (RNN) which are used in text applications or other sequences.Update chapter 3 with major enhancements of R and Python including my contributions to integration of open source with SAS.Update recommendation systems in chapter 9 including Factorization machines