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Author: Ashok Anand
Publisher: Notion Press
ISBN: 0997557761
Category : Political Science
Languages : en
Pages : 812
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Book Description
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.
Author: Ashok Anand
Publisher: Notion Press
ISBN: 0997557761
Category : Political Science
Languages : en
Pages : 812
Get Book Here
Book Description
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.
Author: Jason Brownlee
Publisher: Machine Learning Mastery
ISBN:
Category : Computers
Languages : en
Pages : 450
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Book Description
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.
Author: Elena Marchiori
Publisher: Springer Science & Business Media
ISBN: 354071782X
Category : Computers
Languages : en
Pages : 311
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Book Description
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.
Author: Alex Woloch
Publisher: Princeton University Press
ISBN: 140082575X
Category : Literary Criticism
Languages : en
Pages : 402
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Book Description
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.
Author: David Bayles
Publisher: Souvenir Press
ISBN: 1800815999
Category : Self-Help
Languages : en
Pages : 109
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Book Description
'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.
Author: Bronnie Ware
Publisher: Hay House, Inc
ISBN: 1401956009
Category : Self-Help
Languages : en
Pages : 322
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Book Description
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.
Author: Oscar Cordon
Publisher: World Scientific
ISBN: 9814494453
Category : Computers
Languages : en
Pages : 489
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Book Description
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.
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
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Book Description
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.
Author: Trevor Hastie
Publisher: Springer Science & Business Media
ISBN: 0387216065
Category : Mathematics
Languages : en
Pages : 545
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Book Description
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.
Author: American Bar Association. House of Delegates
Publisher: American Bar Association
ISBN: 9781590318737
Category : Law
Languages : en
Pages : 216
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Book Description
The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.
