Download or read book Intelligence Analysis Fundamentals written by Godfrey Garner and published by CRC Press. This book was released on 2018-08-06 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are a limited number of intelligence analysis books available on the market. Intelligence Analysis Fundamentals is an introductory, accessible text for college level undergraduate and graduate level courses. While the principles outlined in the book largely follow military intelligence terminology and practice, concepts are presented to correlate with intelligence gathering and analysis performed in law enforcement, homeland security, and corporate and business security roles. Most of the existing texts on intelligence gathering and analysis focus on specific types of intelligence such as ‘target centric’ intelligence, and many of these, detail information from a position of prior knowledge. In other words, they are most valuable to the consumer who has a working-level knowledge of the subject. The book is general enough in nature that a lay student—interested in pursuing a career in intelligence, Homeland Security, or other related areas of law enforcement—will benefit from it. No prior knowledge of intelligence analysis, functions, or operations is assumed. Chapters illustrate methods and techniques that, over the years, have consistently demonstrate results, superior to those achieved with other means. Chapters describe such analytical methods that are most widely used in the intelligence community and serve as recognized standards and benchmarks in the practice of intelligence analysis. All techniques have been selected for inclusion for their specific application to homeland security, criminal investigations, and intelligence operations. Uses numerous hands-on activities—that can easily be modified by instructors to be more or less challenging depending on the course level—to reinforce concepts As current and active members of the intelligence community, the authors draw on their decades of experience in intelligence to offer real-world examples to illustrate concepts All methodologies reflect the latest trends in the intelligence communities assessment, analysis, and reporting processes with all presented being open source, non-classified information As such, the non-sensitive information presented is appropriate—and methods applicable—for use for education and training overseas and internationally Military-style collection and analysis methods are the primary ones presented, but all are directly correlated intelligence to current concepts, functions and practices within Homeland Security and the law communities Covers the counterterrorism environment where joint operations and investigative efforts combine military, private sector, and law enforcement action and information sharing The book will be a welcome addition to the body of literature available and a widely used reference for professionals and students alike.
Download or read book Intelligence Analysis Fundamentals written by Godfrey Garner and published by CRC Press. This book was released on 2018-08-06 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are a limited number of intelligence analysis books available on the market. Intelligence Analysis Fundamentals is an introductory, accessible text for college level undergraduate and graduate level courses. While the principles outlined in the book largely follow military intelligence terminology and practice, concepts are presented to correlate with intelligence gathering and analysis performed in law enforcement, homeland security, and corporate and business security roles. Most of the existing texts on intelligence gathering and analysis focus on specific types of intelligence such as ‘target centric’ intelligence, and many of these, detail information from a position of prior knowledge. In other words, they are most valuable to the consumer who has a working-level knowledge of the subject. The book is general enough in nature that a lay student—interested in pursuing a career in intelligence, Homeland Security, or other related areas of law enforcement—will benefit from it. No prior knowledge of intelligence analysis, functions, or operations is assumed. Chapters illustrate methods and techniques that, over the years, have consistently demonstrate results, superior to those achieved with other means. Chapters describe such analytical methods that are most widely used in the intelligence community and serve as recognized standards and benchmarks in the practice of intelligence analysis. All techniques have been selected for inclusion for their specific application to homeland security, criminal investigations, and intelligence operations. Uses numerous hands-on activities—that can easily be modified by instructors to be more or less challenging depending on the course level—to reinforce concepts As current and active members of the intelligence community, the authors draw on their decades of experience in intelligence to offer real-world examples to illustrate concepts All methodologies reflect the latest trends in the intelligence communities assessment, analysis, and reporting processes with all presented being open source, non-classified information As such, the non-sensitive information presented is appropriate—and methods applicable—for use for education and training overseas and internationally Military-style collection and analysis methods are the primary ones presented, but all are directly correlated intelligence to current concepts, functions and practices within Homeland Security and the law communities Covers the counterterrorism environment where joint operations and investigative efforts combine military, private sector, and law enforcement action and information sharing The book will be a welcome addition to the body of literature available and a widely used reference for professionals and students alike.
Download or read book Fundamentals of Business Intelligence written by Wilfried Grossmann and published by Springer. This book was released on 2015-06-02 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques and the combination of these methods for process-oriented data. After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided. The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples.
Download or read book Handbook of Scientific Methods of Inquiry for Intelligence Analysis written by Hank Prunckun and published by Scarecrow Press. This book was released on 2010 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the exponential growth in the intelligence field in the last few years, the profession has grown much larger and its mission more complex. Government and private sector security agencies have recruited intelligence analysts to process what has become a voluminous amount of raw information flowing into these agencies' data collection systems. Unfortunately, there is an unmet need for analysts who are able to process these data. For this reason there are a growing number of colleges and universities that offer intelligence training so that candidates for analyst positions can take-up their duties without protracted on-the-job instruction. Handbook of Scientific Methods of Inquiry for Intelligence Analysis offers students in such courses a way of gaining the analytic skills essential to undertake intelligence work. This book acquaints students and analysts with how intelligence fits into the larger research framework. It covers not only the essentials of applied research but also explains the function, structure, and operational methods specifically involved in intelligence work. It looks at how analysts work with classified information in a security conscious environment, as well as obtaining data via covert methods. Students are left with little doubt about what intelligence is and how it is developed using scientific methods of inquiry.
Download or read book Psychology of Intelligence Analysis written by Richards J Heuer and published by Pickle Partners Publishing. This book was released on 2020-03-05 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this seminal work, published by the C.I.A. itself, produced by Intelligence veteran Richards Heuer discusses three pivotal points. First, human minds are ill-equipped ("poorly wired") to cope effectively with both inherent and induced uncertainty. Second, increased knowledge of our inherent biases tends to be of little assistance to the analyst. And lastly, tools and techniques that apply higher levels of critical thinking can substantially improve analysis on complex problems.
Download or read book Fundamentals of Computational Intelligence written by James M. Keller and published by John Wiley & Sons. This book was released on 2016-07-13 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.
Download or read book The Art of Intelligence written by Rubén Arcos and published by Rowman & Littlefield. This book was released on 2019-06-12 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: The only professional resource of its kind to offer in one volume original simulations, exercises, and games designed by academics and intelligence professionals from several countries. These interactive learning tools add immeasurable value to students’ understanding of the intelligence enterprise, and the various contributors provide an international perspective to the topics and approached. For use in undergraduate and graduate courses in intelligence, intel analysis, business intelligence, and various other national security policy courses offered in universities and government training facilities with the need for training in analytic principles and tradecraft.
Download or read book Scientific Methods of Inquiry for Intelligence Analysis written by Hank Prunckun and published by Rowman & Littlefield. This book was released on 2014-09-08 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since 9/11, the needs of intelligence agencies as well as the missions they conduct have increased in number, size, and complexity. As such, government and private security agencies are recruiting staff to analyze the vast amount of data collected in these missions. This textbook offers a way of gaining the analytic skills essential to undertake intelligence work. It acquaints students and analysts with how intelligence fits into the larger research framework. It covers not only the essentials of applied research, but also the function, structure, and operational methods specifically involved in intelligence work. It looks at how analysts work with classified information in a security conscious environment as well as obtain data via covert methods. Students are left with little doubt about what intelligence is and how it is developed using scientific methods of inquiry. This revised edition of the popular text has been expanded and updated significantly.
Download or read book Transforming U S Intelligence written by Jennifer E. Sims and published by Georgetown University Press. This book was released on 2005-08-24 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: The intelligence failures exposed by the events of 9/11 and the missing weapons of mass destruction in Iraq have made one thing perfectly clear: change is needed in how the U.S. intelligence community operates. Transforming U.S. Intelligence argues that transforming intelligence requires as much a look to the future as to the past and a focus more on the art and practice of intelligence rather than on its bureaucratic arrangements. In fact, while the recent restructuring, including the creation of the Department of Homeland Security, may solve some problems, it has also created new ones. The authors of this volume agree that transforming policies and practices will be the most effective way to tackle future challenges facing the nation's security. This volume's contributors, who have served in intelligence agencies, the Departments of State or Defense, and the staffs of congressional oversight committees, bring their experience as insiders to bear in thoughtful and thought-provoking essays that address what such an overhaul of the system will require. In the first section, contributors discuss twenty-first-century security challenges and how the intelligence community can successfully defend U.S. national interests. The second section focuses on new technologies and modified policies that can increase the effectiveness of intelligence gathering and analysis. Finally, contributors consider management procedures that ensure the implementation of enhanced capabilities in practice. Transforming U.S. Intelligence supports the mandate of the new director of national intelligence by offering both careful analysis of existing strengths and weaknesses in U.S. intelligence and specific recommendations on how to fix its problems without harming its strengths. These recommendations, based on intimate knowledge of the way U.S. intelligence actually works, include suggestions for the creative mixing of technologies with new missions to bring about the transformation of U.S. intelligence without incurring unnecessary harm or expense. The goal is the creation of an intelligence community that can rapidly respond to developments in international politics, such as the emergence of nimble terrorist networks while reconciling national security requirements with the rights and liberties of American citizens.
Download or read book Artificial Intelligence written by Cherry Bhargava and published by CRC Press. This book was released on 2021-07-28 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive reference text discusses the fundamental concepts of artificial intelligence and its applications in a single volume. Artificial Intelligence: Fundamentals and Applications presents a detailed discussion of basic aspects and ethics in the field of artificial intelligence and its applications in areas, including electronic devices and systems, consumer electronics, automobile engineering, manufacturing, robotics and automation, agriculture, banking, and predictive analysis. Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, manufacturing engineering, pharmacy, and healthcare, this text: Discusses advances in artificial intelligence and its applications. Presents the predictive analysis and data analysis using artificial intelligence. Covers the algorithms and pseudo-codes for different domains. Discusses the latest development of artificial intelligence in the field of practical speech recognition, machine translation, autonomous vehicles, and household robotics. Covers the applications of artificial intelligence in fields, including pharmacy and healthcare, electronic devices and systems, manufacturing, consumer electronics, and robotics.
Download or read book Intelligence Analysis written by Wayne Michael Hall and published by Bloomsbury Publishing USA. This book was released on 2009-12-22 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a vast conceptual and theoretical exploration of the ways intelligence analysis must change in order to succeed against today's most dangerous combatants and most complex irregular theatres of conflict. Intelligence Analysis: How to Think in Complex Environments fills a void in the existing literature on contemporary warfare by examining the theoretical and conceptual foundations of effective modern intelligence analysis—the type of analysis needed to support military operations in modern, complex operational environments. This volume is an expert guide for rethinking intelligence analysis and understanding the true nature of the operational environment, adversaries, and most importantly, the populace. Intelligence Analysis proposes substantive improvements in the way the U.S. national security system interprets intelligence, drawing on the groundbreaking work of theorists ranging from Carl von Clauswitz and Sun Tzu to M. Mitchell Waldrop, General David Petraeus, Richards Heuer, Jr., Orson Scott Card, and others. The new ideas presented here will help the nation to amass a formidable, cumulative intelligence power, with distinct advantages over any and all adversaries of the future regardless of the level of war or type of operational environment.
Download or read book The Craft of Intelligence written by Allen Dulles and published by Rowman & Littlefield. This book was released on 2006-04-01 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: If the experts could point to any single book as a starting point for understanding the subject of intelligence from the late twentieth century to today, that single book would be Allen W. Dulles's The Craft of Intelligence. This classic of spycraft is based on Allen Dulles's incomparable experience as a diplomat, international lawyer, and America's premier intelligence officer. Dulles was a high-ranking officer of the CIA's predecessor--the Office of Strategic Services--and was present at the inception of the CIA, where he served eight of his ten years there as director. Here he sums up what he learned about intelligence from nearly a half-century of experience in foreign affairs. In World War II his OSS agents penetrated the German Foreign Office, worked with the anti-Nazi underground resistance, and established contacts that brought about the Nazi military surrender in North Italy. Under his direction the CIA developed both a dedicated corps of specialists and a whole range of new intelligence devices, from the U-2 high-altitude photographic plane to minute electronic listening and transmitting equipment. Dulles reveals much about how intelligence is collected and processed, and how the resulting estimates contribute to the formation of national policy. He discusses methods of surveillance, and the usefulness of defectors from hostile nations. His knowledge of Soviet espionage techniques is unrivaled, and he explains how the Soviet State Security Service recruited operatives and planted "illegals" in foreign countries. He spells out not only the techniques of modern espionage but also the philosophy and role of intelligence in a free society threatened by global conspiracies. Dulles also addresses the Bay of Pigs incident, denying that the 1961 invasion was based on a CIA estimate that a popular Cuban uprising would ensue. This account is enlivened with a wealth of personal anecdotes. It is a book for readers who seek wider understanding of the contribution of intelligence to our national security.
Download or read book Fundamentals of Deep Learning written by Nikhil Buduma and published by "O'Reilly Media, Inc.". This book was released on 2017-05-25 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you’re familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started. Examine the foundations of machine learning and neural networks Learn how to train feed-forward neural networks Use TensorFlow to implement your first neural network Manage problems that arise as you begin to make networks deeper Build neural networks that analyze complex images Perform effective dimensionality reduction using autoencoders Dive deep into sequence analysis to examine language Learn the fundamentals of reinforcement learning
Download or read book Artificial Intelligence and Machine Learning Fundamentals written by Zsolt Nagy and published by Packt Publishing Ltd. This book was released on 2018-12-12 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create AI applications in Python and lay the foundations for your career in data science Key FeaturesPractical examples that explain key machine learning algorithmsExplore neural networks in detail with interesting examplesMaster core AI concepts with engaging activitiesBook Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learnUnderstand the importance, principles, and fields of AIImplement basic artificial intelligence concepts with PythonApply regression and classification concepts to real-world problemsPerform predictive analysis using decision trees and random forestsCarry out clustering using the k-means and mean shift algorithmsUnderstand the fundamentals of deep learning via practical examplesWho this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it’s recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).
Download or read book Fundamentals of Machine Learning for Predictive Data Analytics second edition written by John D. Kelleher and published by MIT Press. This book was released on 2020-10-20 with total page 853 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning.
Download or read book Fundamentals of Artificial Intelligence written by K.R. Chowdhary and published by Springer Nature. This book was released on 2020-04-04 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.
Download or read book Fundamentals of Computational Swarm Intelligence written by Andries P. Engelbrecht and published by Wiley. This book was released on 2005-12-16 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Computational Swarm Intelligence provides a comprehensive introduction to the new computational paradigm of Swarm Intelligence (SI), a field that emerged from biological research, and is now picking up momentum within the computational research community. Bio-inspired systems are becoming increasingly important research areas for computer scientists, engineers, economists, bioinformaticians, operational researchers, and many other disciplines. This book introduces the reader to the mathematical models of social insects collective behaviour, and shows how they can be used in solving optimization problems. Focusing on the algorithmic implementation of models of swarm behavior, this book: Examines how social network structures are used to exchange information among individuals, and how the aggregate behaviour of these individuals forms a powerful organism. Introduces a compact summary of the formal theory of optimisation. Outlines paradigms with relations to SI, including genetic algorithms, evolutionary programming, evolutionary strategies, cultural algorithms and co-evolution. Looks at the choreographic movements of birds in a flock as a basis for the Particle Swarm Optimization (PSO) models, and provides an extensive treatment of different classes of PSO models. Shows how the behaviour of ants can be used to implement Ant Colony Optimization (ACO) algorithms to solve real-world problems including routing optimization, structure optimization, data mining and data clustering. Considers different classes of optimization problems, including multi-objective optimization, dynamic environments, discrete and continuous search spaces, constrained optimization, and niching. Includes an accompanying website containing Java classes and implementations of the different algorithms that can be used to test PSO and ACO algorithms: http://si.cs.up.ac.za The interdisciplinary nature of this field will make Fundamentals of Computational Swarm Intelligence an essential resource for readers with diverse backgrounds. In addition, it will be an excellent reference for computer scientists, practitioners in business or industry and researchers involved in the analysis, design and simulation of multibody systems. Advanced undergraduates and graduate students in artificial intelligence, collective intelligence and engineering will also find this book an invaluable tool.
