One Vs All

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One vs All

Author : Ashok Anand
Publisher : Notion Press
ISBN 13 : 0997557761
Total Pages : 812 pages
Book Rating : 4.9/5 (975 download)

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Book Synopsis One vs All by : Ashok Anand

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.

Ensemble Learning Algorithms With Python

Author : Jason Brownlee
Publisher : Machine Learning Mastery
ISBN 13 :
Total Pages : 450 pages
Book Rating : 4./5 ( download)

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Book Synopsis Ensemble Learning Algorithms With Python by : Jason Brownlee

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.

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Author : Elena Marchiori
Publisher : Springer Science & Business Media
ISBN 13 : 354071782X
Total Pages : 311 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics by : Elena Marchiori

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.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Author : César San Martin
Publisher : Springer
ISBN 13 : 3642250858
Total Pages : 736 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by : César San Martin

Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by César San Martin and published by Springer. This book was released on 2011-11-12 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th Iberoamerican Congress on Pattern Recognition, CIARP 2011, held in Pucón, Chile, in November 2011. The 81 revised full papers presented together with 3 keynotes were carefully reviewed and selected from numerous submissions. Topics of interest covered are image processing, restoration and segmentation; computer vision; clustering and artificial intelligence; pattern recognition and classification; applications of pattern recognition; and Chilean Workshop on Pattern Recognition.

Art & Fear

Author : David Bayles
Publisher : Souvenir Press
ISBN 13 : 1800815999
Total Pages : 109 pages
Book Rating : 4.8/5 (8 download)

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Book Synopsis Art & Fear by : David Bayles

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.

Genetic Fuzzy Systems: Evolutionary Tuning And Learning Of Fuzzy Knowledge Bases

Author : Oscar Cordon
Publisher : World Scientific
ISBN 13 : 9814494453
Total Pages : 489 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Genetic Fuzzy Systems: Evolutionary Tuning And Learning Of Fuzzy Knowledge Bases by : Oscar Cordon

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.

Proceedings of the Scientific-Practical Conference "Research and Development - 2016"

Download Proceedings of the Scientific-Practical Conference

Author : K. V. Anisimov
Publisher : Springer
ISBN 13 : 3319628704
Total Pages : 715 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Proceedings of the Scientific-Practical Conference "Research and Development - 2016" by : K. V. Anisimov

Download or read book Proceedings of the Scientific-Practical Conference "Research and Development - 2016" written by K. V. Anisimov and published by Springer. This book was released on 2017-12-04 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book relates to the III Annual Conference hosted by The Ministry of Education and Science of the Russian Federation in December 2016. This event has summarized, analyzed and discussed the interim results, academic outputs and scientific achievements of the Russian Federal Targeted Programme “Research and Development in Priority Areas of Development of the Russian Scientific and Technological Complex for 2014–2020.” It contains 75 selected papers from 6 areas considered priority by the Federal Targeted Programme: computer science, ecology & environment sciences; energy and energy efficiency; lifesciences; nanoscience & nanotechnology and transport & communications. The chapters report the results of the 3-years research projects supported by the Programme and finalized in 2016.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer Science & Business Media
ISBN 13 : 3642231985
Total Pages : 624 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Machine Learning and Data Mining in Pattern Recognition by : Petra Perner

Download or read book Machine Learning and Data Mining in Pattern Recognition written by Petra Perner and published by Springer Science & Business Media. This book was released on 2011-08-12 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2011, held in New York, NY, USA. The 44 revised full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on classification and decision theory, theory of learning, clustering, application in medicine, webmining and information mining; and machine learning and image mining.

Interpretable Machine Learning

Author : Christoph Molnar
Publisher : Lulu.com
ISBN 13 : 0244768528
Total Pages : 320 pages
Book Rating : 4.2/5 (447 download)

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Book Synopsis Interpretable Machine Learning by : Christoph Molnar

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.

Advances in Computational and Bio-Engineering

Author : S. Jyothi
Publisher : Springer Nature
ISBN 13 : 3030469395
Total Pages : 650 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Advances in Computational and Bio-Engineering by : S. Jyothi

Download or read book Advances in Computational and Bio-Engineering written by S. Jyothi and published by Springer Nature. This book was released on 2020-07-19 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes.

Secure Data Science

Author : Bhavani Thuraisingham
Publisher : CRC Press
ISBN 13 : 1000557510
Total Pages : 430 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Secure Data Science by : Bhavani Thuraisingham

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.

Advances in Biometrics

Author : David Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 3540311114
Total Pages : 814 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Advances in Biometrics by : David Zhang

Download or read book Advances in Biometrics written by David Zhang and published by Springer Science & Business Media. This book was released on 2006-02-10 with total page 814 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Conference on Biometrics, ICB 2006, held in Hong Kong, China in January 2006. The book includes 104 revised full papers covering such areas of biometrics as the face, fingerprint, iris, speech and signature, biometric fusion and performance evaluation, gait, keystrokes, and more. In addition the results of the Face Authentication Competition (FAC 2006) are also announced in this volume.

Applied Statistical Learning

Author : Matthias Schonlau
Publisher : Springer Nature
ISBN 13 : 303133390X
Total Pages : 339 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Applied Statistical Learning by : Matthias Schonlau

Download or read book Applied Statistical Learning written by Matthias Schonlau and published by Springer Nature. This book was released on 2023-08-02 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata. After introductory material on statistical learning concepts and practical aspects, each further chapter is devoted to a statistical learning algorithm or a group of related techniques. In particular, the book presents logistic regression, regularized linear models such as the Lasso, nearest neighbors, the Naive Bayes classifier, classification trees, random forests, boosting, support vector machines, feature engineering, neural networks, and stacking. It also explains how to construct n-gram variables from text data. Examples, conceptual exercises and exercises using software are featured throughout, together with case studies in Stata, mostly from the social sciences; true to the book’s goal to facilitate the use of modern methods of data science in the field. Although mainly intended for upper undergraduate and graduate students in the social sciences, given its applied nature, the book will equally appeal to readers from other disciplines, including the health sciences, statistics, engineering and computer science.

Learning Kernel Classifiers

Author : Ralf Herbrich
Publisher : MIT Press
ISBN 13 : 0262546590
Total Pages : 393 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Learning Kernel Classifiers by : Ralf Herbrich

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.

The Elements of Statistical Learning

Author : Trevor Hastie
Publisher : Springer Science & Business Media
ISBN 13 : 0387216065
Total Pages : 545 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis The Elements of Statistical Learning by : Trevor Hastie

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.

Agents and Artificial Intelligence

Author : Joaquim Filipe
Publisher : Springer
ISBN 13 : 3662444402
Total Pages : 383 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Agents and Artificial Intelligence by : Joaquim Filipe

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.

Intelligent Human Computer Interaction

Author : Anupam Basu
Publisher : Springer
ISBN 13 : 3319525034
Total Pages : 303 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Intelligent Human Computer Interaction by : Anupam Basu

Download or read book Intelligent Human Computer Interaction written by Anupam Basu and published by Springer. This book was released on 2017-01-20 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 8th International Conference on Intelligent Human Computer Interaction, IHCI 2016, held in Pilani, India, in December 2016. The 22 regular papers and 3 abstracts of invited talks included in this volume were carefully reviewed and selected from 115 initial submissions. They deal with intelligent interfaces; brain machine interaction; HCI applications and technology; and interface and systems.