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Handbook of statistical analysis and data mining applications
The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions.Written \"By Practitioners for Practitioners\" Non-technical explanations build understanding without jargon and equations Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models Practical advice from successful real-world implementations Includes extensive case studies, examples, MS PowerPoint slides and datasets CD-DVD with valuable fully-working 90-day software included: \"Complete Data Miner - QC-Miner - Text Miner\" bound with book
eBook
Exploration-Exploitation Strategies in Deep Q-Networks Applied to Route-Finding Problems
Reinforcement learning is a class of algorithm that allows computers to learn how to accumulate rewards effectively in the environment and ultimately get excellent results. Among them, the exploration-exploitation tradeoff is a very important concept, since a good strategy can improve learning speed and final total reward. In this work, we applied DQN algorithm with different exploration-exploitation strategies to solve traditional route-finding problems. The experimental results show that the epsilon greedy strategy with a parabolic drop in epsilon value over reward improvement is the best, while it is not satisfactory after incorporating the softmax function. We hypothesized that the simplicity of the maze we use in this work in which the agent attempts to find the shortest path leads to the inadequacy of applying softmax to further encourage exploration. Future work thus involves experimenting with mazes at different scales and complexities and observing which exploration-exploitation strategies work best in each condition.
Journal Article
Exploring space
\"Simple text and full-color photos present information about the past and future of space exploration\"--Provided by publisher.
Book
The Elusive West and the Contest for Empire, 1713-1763
A truly continental history in both its geographic and political scope,The Elusive West and the Contest for Empireinvestigates eighteenth-century diplomacy involving North America and links geographic ignorance about the American West to Europeans' grand geopolitical designs. Breaking from scholars' traditional focus on the Atlantic world, Paul Mapp demonstrates the centrality of hitherto understudied western regions to early American history.In the first two-thirds of the eighteenth century, imperial officials in London, Paris, or Madrid knew very little about western North America. Yet Europeans' competition to gain access to the Pacific Ocean and control trade to the Far East enhanced the importance of western American territories. Mapp reconstructs French, Spanish, British, and Amerindian ideas about these unknown regions, especially the elusive Northwest Passage, and shows that a Pacific focus is crucial to understanding the causes, course, and consequences of the Seven Years' War.Mapp's work serves as a model for constructing a comprehensive colonial history of the continent. His book transcends artificially imposed boundaries of scholarly inquiry that did not exist in the diverse and interconnected early modern world and relates remote Pacific regions to the Atlantic aspects of the global Seven Years' War.
eBook
The value of the Moon : how to explore, live, and prosper in space using the Moon's resources
\"While the Moon was once thought to hold the key to space exploration, in recent decades, the U.S. has largely turned its sights toward Mars and other celestial bodies instead. In The Value of the Moon, lunar scientist Paul Spudis argues that the U.S. can and should return to the moon in order to remain a world leader in space utilization and development and a participant in and beneficiary of a new lunar economy. Spudis explores three reasons for returning to the Moon: it is close, it is interesting, and it is useful. The proximity of the Moon not only allows for frequent launches, but also control of any machinery we place there. It is interesting because recorded deep on its surface and in its craters is the preserved history of the moon, the sun, and indeed the entire galaxy. And finally, the moon is useful because it is rich with materials and energy. The moon, Spudis argues, is a logical base for further space exploration and even a possible future home for us all. Throughout his work, Spudis incorporates details about man's fascination with the moon and its place in our shared history. He also explores its religious, cultural, and scientific resonance and assesses its role in the future of spaceflight and our national security and prosperity\"-- Provided by publisher.
Book
Data mining : concepts and techniques
Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data- including stream data, sequence data, graph structured data, social network data, and multi-relational data.
eBook