Download or read book One vs All written by Ashok Anand and published by Notion Press. This book was released on 2016-08-23 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: One vs All: Narendra Modi—Pariah to Paragon is all truth. Ashok Anand has dissected ages-old layers of ignorance, myths and ego with his surgical observation to let the truth breathe out of the diseased society. It shames the political class, bureaucracy and religious bigots. It unmasks an absolutely hypocrite society that clings to the past, despises change, lives in denial but notorious for hidden avarice, arrogance and lust. Each chapter of this book will unfold many bitter truths. Have ever thought why a poor tea-seller boy, today occupying the prime minister’s chair, is not corrupt, greedy and foul-mouthed like most of the others in the country? How a “Pariah” pronounced by the anti-national political forces could become a “Paragon” of values? The Indian society, howsoever ignorant and selfish maybe, needs space to evolve, grow and prosper. Would Narendra Modi be able to do that? Truth is very hard to digest. If brave enough, go ahead and read. Not a thriller. Better than a thriller. One vs. All: Narendra Modi—Pariah to Paragon takes the reader to the demonic world of Indian politics, surrounded by the intrigues of a superstitious and ignorant society that loves dwelling in the past and detests any change.
Download or read book Ensemble Learning Algorithms With Python written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2021-04-26 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive performance is the most important concern on many classification and regression problems. Ensemble learning algorithms combine the predictions from multiple models and are designed to perform better than any contributing ensemble member. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover how to confidently and effectively improve predictive modeling performance using ensemble algorithms.
Download or read book Evolutionary Computation Machine Learning and Data Mining in Bioinformatics written by Elena Marchiori and published by Springer Science & Business Media. This book was released on 2007-04-02 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2007, held in Valencia, Spain, April 2007. Coverage brings together experts in computer science with experts in bioinformatics and the biological sciences. It presents contributions on fundamental and theoretical issues along with papers dealing with different applications areas.
Download or read book The One vs the Many written by Alex Woloch and published by Princeton University Press. This book was released on 2009-02-09 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Does a novel focus on one life or many? Alex Woloch uses this simple question to develop a powerful new theory of the realist novel, based on how narratives distribute limited attention among a crowded field of characters. His argument has important implications for both literary studies and narrative theory. Characterization has long been a troubled and neglected problem within literary theory. Through close readings of such novels as Pride and Prejudice, Great Expectations, and Le Père Goriot, Woloch demonstrates that the representation of any character takes place within a shifting field of narrative attention and obscurity. Each individual--whether the central figure or a radically subordinated one--emerges as a character only through his or her distinct and contingent space within the narrative as a whole. The "character-space," as Woloch defines it, marks the dramatic interaction between an implied person and his or her delimited position within a narrative structure. The organization of, and clashes between, many character-spaces within a single narrative totality is essential to the novel's very achievement and concerns, striking at issues central to narrative poetics, the aesthetics of realism, and the dynamics of literary representation. Woloch's discussion of character-space allows for a different history of the novel and a new definition of characterization itself. By making the implied person indispensable to our understanding of literary form, this book offers a forward-looking avenue for contemporary narrative theory.
Download or read book Art Fear written by David Bayles and published by Souvenir Press. This book was released on 2023-02-09 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'I always keep a copy of Art & Fear on my bookshelf' JAMES CLEAR, author of the #1 best-seller Atomic Habits 'A book for anyone and everyone who wants to face their fears and get to work' DEBBIE MILLMAN, author and host of the podcast Design Matters 'A timeless cult classic ... I've stolen tons of inspiration from this book over the years and so will you' AUSTIN KLEON, NYTimes bestselling author of Steal Like an Artist 'The ultimate pep talk for artists. ... An invaluable guide for living a creative, collaborative life.' WENDY MACNAUGHTON, illustrator Art & Fear is about the way art gets made, the reasons it often doesn't get made, and the nature of the difficulties that cause so many artists to give up along the way. Drawing on the authors' own experiences as two working artists, the book delves into the internal and external challenges to making art in the real world, and shows how they can be overcome every day. First published in 1994, Art & Fear quickly became an underground classic, and word-of-mouth has placed it among the best-selling books on artmaking and creativity. Written by artists for artists, it offers generous and wise insight into what it feels like to sit down at your easel or keyboard, in your studio or performance space, trying to do the work you need to do. Every artist, whether a beginner or a prizewinner, a student or a teacher, faces the same fears - and this book illuminates the way through them.
Download or read book Top Five Regrets of the Dying written by Bronnie Ware and published by Hay House, Inc. This book was released on 2019-08-13 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revised edition of the best-selling memoir that has been read by over a million people worldwide with translations in 29 languages. After too many years of unfulfilling work, Bronnie Ware began searching for a job with heart. Despite having no formal qualifications or previous experience in the field, she found herself working in palliative care. During the time she spent tending to those who were dying, Bronnie's life was transformed. Later, she wrote an Internet blog post, outlining the most common regrets that the people she had cared for had expressed. The post gained so much momentum that it was viewed by more than three million readers worldwide in its first year. At the request of many, Bronnie subsequently wrote a book, The Top Five Regrets of the Dying, to share her story. Bronnie has had a colourful and diverse life. By applying the lessons of those nearing their death to her own life, she developed an understanding that it is possible for everyone, if we make the right choices, to die with peace of mind. In this revised edition of the best-selling memoir that has been read by over a million people worldwide, with translations in 29 languages, Bronnie expresses how significant these regrets are and how we can positively address these issues while we still have the time. The Top Five Regrets of the Dying gives hope for a better world. It is a courageous, life-changing book that will leave you feeling more compassionate and inspired to live the life you are truly here to live.
Download or read book Genetic Fuzzy Systems Evolutionary Tuning And Learning Of Fuzzy Knowledge Bases written by Oscar Cordon and published by World Scientific. This book was released on 2001-07-13 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to genetic algorithms that adapt and learn the knowledge base of a fuzzy-rule-based system. It introduces the general concepts, foundations and design principles of genetic fuzzy systems and covers the topic of genetic tuning of fuzzy systems. It also introduces the three fundamental approaches to genetic learning processes in fuzzy systems: the Michigan, Pittsburgh and Iterative-learning methods. Finally, it explores hybrid genetic fuzzy systems such as genetic fuzzy clustering or genetic neuro-fuzzy systems and describes a number of applications from different areas.Genetic Fuzzy System represents a comprehensive treatise on the design of the fuzzy-rule-based systems using genetic algorithms, both from a theoretical and a practical perspective. It is a valuable compendium for scientists and engineers concerned with research and applications in the domain of fuzzy systems and genetic algorithms.
Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Download or read book Learning Kernel Classifiers written by Ralf Herbrich and published by MIT Press. This book was released on 2022-11-01 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the theory and application of kernel classification methods. Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier—a limited, but well-established and comprehensively studied model—and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis. This book provides the first comprehensive overview of both the theory and algorithms of kernel classifiers, including the most recent developments. It begins by describing the major algorithmic advances: kernel perceptron learning, kernel Fisher discriminants, support vector machines, relevance vector machines, Gaussian processes, and Bayes point machines. Then follows a detailed introduction to learning theory, including VC and PAC-Bayesian theory, data-dependent structural risk minimization, and compression bounds. Throughout, the book emphasizes the interaction between theory and algorithms: how learning algorithms work and why. The book includes many examples, complete pseudo code of the algorithms presented, and an extensive source code library.
Download or read book Agents and Artificial Intelligence written by Joaquim Filipe and published by Springer. This book was released on 2014-10-30 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Agents and Artificial Intelligence, ICAART 2013, held in Barcelona, Spain, in February 2013. The 20 revised full papers presented together with one invited paper were carefully reviewed and selected from 269 submissions. The papers are organized in two topical sections on artificial intelligence and on agents.
Download or read book Multiple Classifier Systems written by Nikunj C. Oza and published by Springer Science & Business Media. This book was released on 2005-06 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Workshop on Multiple Classifier Systems, MCS 2005, held in Seaside, CA, USA in June 2005. The 42 revised full papers presented were carefully reviewed and are organized in topical sections on boosting, combination methods, design of ensembles, performance analysis, and applications. They exemplify significant advances in the theory, algorithms, and applications of multiple classifier systems – bringing the different scientific communities together.
Download or read book The Elements of Statistical Learning written by Trevor Hastie and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Download or read book Data Mining Tools for Malware Detection written by Mehedy Masud and published by CRC Press. This book was released on 2016-04-19 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop data mining tools for malware d
Download or read book CompTIA A Exam Cram Exams 220 602 220 603 220 604 written by Charles J. Brooks and published by Pearson Education. This book was released on 2007-07-19 with total page 1669 pages. Available in PDF, EPUB and Kindle. Book excerpt: &> In This Book You’ll Learn How To: Recognize the different types and forms of computer memory Identify different computer cables and connectors Troubleshoot IRQ conflicts and other computer resource problems Identify and troubleshoot common computer motherboard components Install core PC components, such as motherboards, processors, and memory Install and maintain multiple computer peripherals Identify network architectures and topologies Troubleshoot operating system problems Describe the core functions of Windows NT/2000/XP and Windows 9x operating systems Discover effective DOS commands excellent for troubleshooting Use the DOS operating system or command lines when your GUI is unavailable Recover from system startup failures Use and troubleshoot Windows Networking Effectively prepare yourself for exam day CD Features Practice Exams! Ready to test your skills? Want to find out if you’re ready for test day? Use the practice tests supplied on this CD to help prepare you for the big day. Test yourself, and then check your answers. Coupled with the in-depth material in the book, this is the ultimate one-two A+ study preparation package! Charles J. Brooks is currently co-owner and vice president of Educational Technologies Group Inc., as well as co-owner of eITPrep LLP, an online training company. He is in charge of research and product development at both organizations. A former electronics instructor and technical writer with the National Education Corporation, Charles taught and wrote on post-secondary EET curriculum, including introductory electronics, transistor theory, linear integrated circuits, basic digital theory, industrial electronics, microprocessors, and computer peripherals. Charles has authored several books, including the first five editions of A+ Certification Training Guide, The Complete Introductory Computer Course, and IBM PC Peripheral Troubleshooting and Repair. He also writes about networking, residential technology integration, and convergence.
Download or read book Artificial Intelligence Applications and Innovations written by Lazaros Iliadis and published by Springer. This book was released on 2014-09-15 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of four AIAI 2014 workshops, co-located with the 10th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2014, held in Rhodes, Greece, in September 2014: the Third Workshop on Intelligent Innovative Ways for Video-to-Video Communications in Modern Smart Cities, IIVC 2014; the Third Workshop on Mining Humanistic Data, MHDW 2014; the Third Workshop on Conformal Prediction and Its Applications, CoPA 2014; and the First Workshop on New Methods and Tools for Big Data, MT4BD 2014. The 36 revised full papers presented were carefully reviewed and selected from numerous submissions. They cover a large range of topics in basic AI research approaches and applications in real world scenarios.
Download or read book Secure Data Science written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2022-04-27 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.
