One Vs All

Download One Vs All full books in PDF, epub, and Kindle. Read online One Vs All ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

One vs All

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

DOWNLOAD NOW!

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)

DOWNLOAD NOW!

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)

DOWNLOAD NOW!

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.

The One vs. the Many

Author : Alex Woloch
Publisher : Princeton University Press
ISBN 13 : 140082575X
Total Pages : 402 pages
Book Rating : 4.4/5 (8 download)

DOWNLOAD NOW!

Book Synopsis The One vs. the Many by : Alex Woloch

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.

Art & Fear

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

DOWNLOAD NOW!

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.

Top Five Regrets of the Dying

Author : Bronnie Ware
Publisher : Hay House, Inc
ISBN 13 : 1401956009
Total Pages : 322 pages
Book Rating : 4.4/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Top Five Regrets of the Dying by : Bronnie Ware

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.

Multiple Classifier Systems

Author : Nikunj C. Oza
Publisher : Springer Science & Business Media
ISBN 13 : 3540263063
Total Pages : 440 pages
Book Rating : 4.5/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Multiple Classifier Systems by : Nikunj C. Oza

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.

Interpretable Machine Learning

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

DOWNLOAD NOW!

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.

Deep Learning

Author : Ian Goodfellow
Publisher : MIT Press
ISBN 13 : 0262337371
Total Pages : 801 pages
Book Rating : 4.2/5 (623 download)

DOWNLOAD NOW!

Book Synopsis Deep Learning by : Ian Goodfellow

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.

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)

DOWNLOAD NOW!

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.

Imbalanced Classification with Python

Author : Jason Brownlee
Publisher : Machine Learning Mastery
ISBN 13 :
Total Pages : 463 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Imbalanced Classification with Python by : Jason Brownlee

Download or read book Imbalanced Classification with Python written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2020-01-14 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imbalanced classification are those classification tasks where the distribution of examples across the classes is not equal. Cut through the equations, Greek letters, and confusion, and discover the specialized techniques data preparation techniques, learning algorithms, and performance metrics that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover how to confidently develop robust models for your own imbalanced classification projects.

A Libertarian Walks Into a Bear

Author : Matthew Hongoltz-Hetling
Publisher : PublicAffairs
ISBN 13 : 1541788486
Total Pages : 318 pages
Book Rating : 4.5/5 (417 download)

DOWNLOAD NOW!

Book Synopsis A Libertarian Walks Into a Bear by : Matthew Hongoltz-Hetling

Download or read book A Libertarian Walks Into a Bear written by Matthew Hongoltz-Hetling and published by PublicAffairs. This book was released on 2020-09-15 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: A tiny American town's plans for radical self-government overlooked one hairy detail: no one told the bears. Once upon a time, a group of libertarians got together and hatched the Free Town Project, a plan to take over an American town and completely eliminate its government. In 2004, they set their sights on Grafton, NH, a barely populated settlement with one paved road. When they descended on Grafton, public funding for pretty much everything shrank: the fire department, the library, the schoolhouse. State and federal laws became meek suggestions, scarcely heard in the town's thick wilderness. The anything-goes atmosphere soon caught the attention of Grafton's neighbors: the bears. Freedom-loving citizens ignored hunting laws and regulations on food disposal. They built a tent city in an effort to get off the grid. The bears smelled food and opportunity. A Libertarian Walks Into a Bear is the sometimes funny, sometimes terrifying tale of what happens when a government disappears into the woods. Complete with gunplay, adventure, and backstabbing politicians, this is the ultimate story of a quintessential American experiment -- to live free or die, perhaps from a bear.

CompTIA A+ Exam Cram (Exams 220-602, 220-603, 220-604)

Author : Charles J. Brooks
Publisher : Pearson Education
ISBN 13 : 076869003X
Total Pages : 1669 pages
Book Rating : 4.7/5 (686 download)

DOWNLOAD NOW!

Book Synopsis CompTIA A+ Exam Cram (Exams 220-602, 220-603, 220-604) by : Charles J. Brooks

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.

Learning Kernel Classifiers

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

DOWNLOAD NOW!

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.

One Vs All

Author : Ashok Anand
Publisher :
ISBN 13 : 9789386009944
Total Pages : 452 pages
Book Rating : 4.0/5 (99 download)

DOWNLOAD NOW!

Book Synopsis One Vs All by : Ashok Anand

Download or read book One Vs All written by Ashok Anand and published by . This book was released on 2016 with total page 452 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. "

Data Preprocessing in Data Mining

Author : Salvador García
Publisher : Springer
ISBN 13 : 3319102478
Total Pages : 327 pages
Book Rating : 4.3/5 (191 download)

DOWNLOAD NOW!

Book Synopsis Data Preprocessing in Data Mining by : Salvador García

Download or read book Data Preprocessing in Data Mining written by Salvador García and published by Springer. This book was released on 2014-08-30 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data. This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is given.Each chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering.

Data Complexity in Pattern Recognition

Author : Mitra Basu
Publisher : Springer Science & Business Media
ISBN 13 : 1846281725
Total Pages : 309 pages
Book Rating : 4.8/5 (462 download)

DOWNLOAD NOW!

Book Synopsis Data Complexity in Pattern Recognition by : Mitra Basu

Download or read book Data Complexity in Pattern Recognition written by Mitra Basu and published by Springer Science & Business Media. This book was released on 2006-12-22 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing strengths and deficiencies of current classification techniques, and the algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations for classification performance.