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The StatQuest Illustrated Guide to Machine Learning!!!: Master the concepts, one full-color picture at a time, from the basics all the way to neural networks. BAM!
by Josh Starmer PhDWith over 300 pages of easy to follow, step-by-step illustrations, everyone can understand Machine Learning from the basics to advanced topics like neural networksKey FeaturesFully illustrated in color and written in the style of a graphic novel. BAM!Every concept is taught with a very gentle learning curve. DOUBLE BAM!!Every page is labeled as Main Ideas or Details, and you can focus on one, or the other, or both. TRIPLE BAM!!!Book DescriptionMachine Learning is awesome and powerful, but it can also appear incredibly complicated. That's where The StatQuest Illustrated Guide to Machine Learning comes in. This book takes the machine learning algorithms, no matter how complicated, and breaks them down into small, bite-sized pieces that are easy to understand. Each concept is clearly illustrated to provide you, the reader, with an intuition about how the methods work that goes beyond the equations alone. The StatQuest Illustrated Guide does not dumb down the concepts. Instead, it builds you up so that you are smarter and have a deeper understanding of Machine Learning.The StatQuest Illustrated Guide to Machine Learning starts with the basics, showing you what machine learning is and what are its goals, and builds on those, one picture at a time, until you have mastered the concepts behind self driving cars and facial recognition.What you will learnMaster the fundamentals to use, optimize and evaluate machine learningDevelop an intuition for fundamental statistics conceptsApply Statistical distributions, R-squared, p-values to your ML modelsGain deep insight into the building blocks like Gradient DescentVisualize machine learning methods, including Neural NetworksLearn about the limitations of machine learningWho this book is forThe StatQuest Illustrated Guide To Machine Learning is a great starting point for anyone who wants to get into the field of Machine Learning. It also serves as the perfect reference for seasoned practitioners who need to review key concepts for an upcoming job interview.For beginners, the illustrations and step-by-step approach ensure that the learning curve is as gentle as possible.For experts, the depth each topic is explored and the visualizations ensure “I finally understand!” moments occur in each chapter.
The State and the Stork: The Population Debate and Policy Making in US History
by Derek S. Hoff&“A powerful model of how to understand the complex array of issues that will shape the political economy of population in the future.&”—American Historical Review From the founders&’ fears that crowded cities would produce corruption, luxury, and vice to the zero population growth movement of the late 1960s to today&’s widespread fears of an aging crisis as the Baby Boomers retire, the American population debate has always concerned much more than racial composition or resource exhaustion, the aspects of the debate usually emphasized by historians. In The State and the Stork, Derek Hoff draws on his extraordinary knowledge of the intersections between population and economic debates throughout American history to explain the many surprising ways that population anxieties have provoked unexpected policies and political developments—including the recent conservative revival. At once a fascinating history and a revelatory look at the deep origins of a crucial national conversation, The State and the Stork could not be timelier. &“Hoff has done a real service by bringing to the foreground the economic dimension of U.S. debates over population size and growth, a topic that has been relegated to the shadows for too long.&”—Population and Development Review &“After decades of failed efforts by the scientific community to alert the public to the environmental dangers of population growth and overpopulation, a first-rate historian has finally detailed both the arguments and their policy implications . . . Everyone interested in population should read The State and the Stork. This is an incredibly timely book.&”—Paul R. Ehrlich, author of The Population Bomb
The State, Removal and Indigenous Peoples in the United States and Mexico, 1620-2000 (Indigenous Peoples and Politics)
by Claudia HaakeThis book investigates the forced migration of the Delawares in the United States and the Yaquis in Mexico, focusing primarily on the impact removal from tribal lands had on the (ethnic) identity of these two indigenous societies. It analyzes Native responses to colonial and state policies to determine the practical options that each group had in dealing with the states in which they lived. Haake convincingly argues that both nation-states aimed at the destruction of the Native American societies within their borders. This exemplary comparative, transnational study clearly demonstrates that the legacy of these attitudes and policies are readily apparent in both countries today. This book should appeal to a wide variety of academic disciplines in which diversity and minority political representation assume significance.
The Static and Dynamic Continuum Theory of Liquid Crystals: A Mathematical Introduction (Liquid Crystals Book Series)
by Iain W. StewartGiven the widespread interest in macroscopic phenomena in liquid crystals, stemming from their applications in displays and devices. The need has arisen for a rigorous yet accessible text suitable for graduate students, whatever their scientific background. This book satisfies that need.The approach taken in this text, is to introduce the basic continuum theory for nematic liquid crystals in equilibria, then it proceeds to simple application of this theory- in particular, there is a discussion of electrical and magnetic field effects which give rise to Freedericksz transitions, which are important in devices. This is followed by an account of dynamic theory and elementary viscometry of nemantics Discussions of backflow and flow-induced instabilities are also included. Smetic theory is also briefly introduced and summarised with some examples of equilibrium solutions as well as those with dynamic effects. A number of mathematical techniques, such as Cartesian tensors and some variational calculus, are presented in the appendices.
The Statistical Analysis of Doubly Truncated Data: With Applications in R (Wiley Series in Probability and Statistics)
by Rosa M. Crujeiras Jacobo de Uña-Álvarez Prof Carla MoreiraA thorough treatment of the statistical methods used to analyze doubly truncated data In The Statistical Analysis of Doubly Truncated Data, an expert team of statisticians delivers an up-to-date review of existing methods used to deal with randomly truncated data, with a focus on the challenging problem of random double truncation. The authors comprehensively introduce doubly truncated data before moving on to discussions of the latest developments in the field. The book offers readers examples with R code along with real data from astronomy, engineering, and the biomedical sciences to illustrate and highlight the methods described within. Linear regression models for doubly truncated responses are provided and the influence of the bandwidth in the performance of kernel-type estimators, as well as guidelines for the selection of the smoothing parameter, are explored. Fully nonparametric and semiparametric estimators are explored and illustrated with real data. R code for reproducing the data examples is also provided. The book also offers: A thorough introduction to the existing methods that deal with randomly truncated data Comprehensive explorations of linear regression models for doubly truncated responses Practical discussions of the influence of bandwidth in the performance of kernel-type estimators and guidelines for the selection of the smoothing parameter In-depth examinations of nonparametric and semiparametric estimators Perfect for statistical professionals with some background in mathematical statistics, biostatisticians, and mathematicians with an interest in survival analysis and epidemiology, The Statistical Analysis of Doubly Truncated Data is also an invaluable addition to the libraries of biomedical scientists and practitioners, as well as postgraduate students studying survival analysis.
The Statistical Analysis of Experimental Data
by John MandelThe increasing importance in laboratory situations of minutely precise measurements presents the chemist and physicist with numerous problems in data analysis. National Bureau of Standards statistics consultant John Mandel here draws a clear and fascinating blueprint for a systematic science of statistical analysis -- geared to the particular needs of the physical scientist, with approach and examples aimed specifically at the statistical problems he is likely to confront. The first third of The Statistical Analysis of Experimental Data comprises a thorough grounding in the fundamental mathematical definitions, concepts, and facts underlying modern statistical theory -- math knowledge beyond basic algebra, calculus, and analytic geometry is not required. Remaining chapters deal with statistics as an interpretative tool that can enable the laboratory researcher to determine his most effective methodology. You'll find lucid, concise coverage of over 130 topics, including elements of measurement; nature of statistical analysis; design/analysis of experiments; statistics as diagnostic tool; precision and accuracy; testing statistical models; between-within classifications; two-way classifications; sampling (principles, objectives, methods); fitting of non-linear models; measurement of processes; components of variance; nested designs; the sensitivity ratio, and much more.Also included are many examples, each worked in step-by-step fashion; nearly 200 helpful figures and tables; and concluding chapter summaries followed by references for further study.Mandel argues that, when backed by an understanding of its theoretic framework, statistics offers researchers "not only a powerful tool for the interpretation of experiments but also a task of real intellectual gratification." The Statistical Analysis of Experimental Data provides the physical scientist with the explanations and models he requires to impress this invaluable tool into service.
The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach (Chapman & Hall/CRC Monographs on Statistics and Applied Probability #1)
by Shanshan Zhao Ross PrenticeThe Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach provides an innovative look at methods for the analysis of correlated failure times. The focus is on the use of marginal single and marginal double failure hazard rate estimators for the extraction of regression information. For example, in a context of randomized trial or cohort studies, the results go beyond that obtained by analyzing each failure time outcome in a univariate fashion. The book is addressed to researchers, practitioners, and graduate students, and can be used as a reference or as a graduate course text. Much of the literature on the analysis of censored correlated failure time data uses frailty or copula models to allow for residual dependencies among failure times, given covariates. In contrast, this book provides a detailed account of recently developed methods for the simultaneous estimation of marginal single and dual outcome hazard rate regression parameters, with emphasis on multiplicative (Cox) models. Illustrations are provided of the utility of these methods using Women’s Health Initiative randomized controlled trial data of menopausal hormones and of a low-fat dietary pattern intervention. As byproducts, these methods provide flexible semiparametric estimators of pairwise bivariate survivor functions at specified covariate histories, as well as semiparametric estimators of cross ratio and concordance functions given covariates. The presentation also describes how these innovative methods may extend to handle issues of dependent censorship, missing and mismeasured covariates, and joint modeling of failure times and covariates, setting the stage for additional theoretical and applied developments. This book extends and continues the style of the classic Statistical Analysis of Failure Time Data by Kalbfleisch and Prentice. Ross L. Prentice is Professor of Biostatistics at the Fred Hutchinson Cancer Research Center and University of Washington in Seattle, Washington. He is the recipient of COPSS Presidents and Fisher awards, the AACR Epidemiology/Prevention and Team Science awards, and is a member of the National Academy of Medicine. Shanshan Zhao is a Principal Investigator at the National Institute of Environmental Health Sciences in Research Triangle Park, North Carolina.
The Statistical Mechanics of Irreversible Phenomena
by Pierre GaspardThis book provides a comprehensive and self-contained overview of recent progress in nonequilibrium statistical mechanics, in particular, the discovery of fluctuation relations and other time-reversal symmetry relations. The significance of these advances is that nonequilibrium statistical physics is no longer restricted to the linear regimes close to equilibrium, but extends to fully nonlinear regimes. These important new results have inspired the development of a unifying framework for describing both the microscopic dynamics of collections of particles, and the macroscopic hydrodynamics and thermodynamics of matter itself. The book discusses the significance of this theoretical framework in relation to a broad range of nonequilibrium processes, from the nanoscale to the macroscale, and is essential reading for researchers and graduate students in statistical physics, theoretical chemistry and biological physics.
The Statistical Physics of Fixation and Equilibration in Individual-Based Models
by Peter AshcroftThis thesis explores several interdisciplinary topics at the border of theoretical physics and biology, presenting results that demonstrate the power of methods from statistical physics when applied to neighbouring disciplines. From birth-death processes in switching environments to discussions on the meaning of quasi-potential landscapes in high-dimensional spaces, this thesis is a shining example of the efficacy of interdisciplinary research. The fields advanced in this work include game theory, the dynamics of cancer, and invasion of mutants in resident populations, as well as general contributions to the theory of stochastic processes. The background material provides an intuitive introduction to the theory and applications of stochastic population dynamics, and the use of techniques from statistical physics in their analysis. The thesis then builds on these foundations to address problems motivated by biological phenomena.
The Statistical Sleuth: A Course in Methods of Data Analysis, Third Edition
by Fred Ramsey Daniel SchaferTHE STATISTICAL SLEUTH: A COURSE IN METHODS OF DATA ANALYSIS, Third Edition offers an appealing treatment of general statistical methods that takes full advantage of the computer, both as a computational and an analytical tool. The material is independent of any specific software package, and prominently treats modeling and interpretation in a way that goes beyond routine patterns. The book focuses on a serious analysis of real case studies, strategies and tools of modern statistical data analysis, the interplay of statistics and scientific learning, and the communication of results. With interesting examples, real data, and a variety of exercise types (conceptual, computational, and data problems), the authors get readers excited about statistics.
The Statistical System of Communist China
by Choh-Ming LiOne of the most baffling problems in contemporary Chinese economic studies concerns the validity of official statistics. In the continuing discussion of claims and counter-claims, appeals to common sense are unconvincing. Because of the pressing need for substantial evidence on which to base a judgment, the present inquiry is an important contribution to the literature on Communist China. The book provides a quizzical but objective look at the statistical system of the country, and attempts to appraise the quality of official statistics by analyzing the development and inner working of the sytem. Its approach is broadly historical, beginning with the pre-Communist period (before 1949) and dividing the next dozen years into phases: the foundation of the state statistical system (1952 - 57), the period of decentralization (1958 - 59), and subsequent efforts at reorganization. Li's study of the development of a national statistical system in China is particularly instructive in delineating both the obstacles to such development that may be expected in a densely populated, largely agricultural country and the measure that have been adopted to overcome them. Therefore his hard-headed conclusions concerning the Chinese experience should be of lively intrest in those underdeveloped countries that are now planning or executing development programs. This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1962.
The Statistics and Calculus with Python Workshop: A comprehensive introduction to mathematics in Python for artificial intelligence applications
by Peter Farrell Alvaro Fuentes Quan Nguyen Ajinkya Sudhir Kolhe Alexander Joseph Sarver Marios TsatsosWith examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easyKey FeaturesDiscover how most programmers use the main Python libraries when performing statistics with PythonUse descriptive statistics and visualizations to answer business and scientific questionsSolve complicated calculus problems, such as arc length and solids of revolution using derivatives and integralsBook DescriptionAre you looking to start developing artificial intelligence applications? Do you need a refresher on key mathematical concepts? Full of engaging practical exercises, The Statistics and Calculus with Python Workshop will show you how to apply your understanding of advanced mathematics in the context of Python.The book begins by giving you a high-level overview of the libraries you'll use while performing statistics with Python. As you progress, you'll perform various mathematical tasks using the Python programming language, such as solving algebraic functions with Python starting with basic functions, and then working through transformations and solving equations. Later chapters in the book will cover statistics and calculus concepts and how to use them to solve problems and gain useful insights. Finally, you'll study differential equations with an emphasis on numerical methods and learn about algorithms that directly calculate values of functions.By the end of this book, you'll have learned how to apply essential statistics and calculus concepts to develop robust Python applications that solve business challenges.What you will learnGet to grips with the fundamental mathematical functions in PythonPerform calculations on tabular datasets using pandasUnderstand the differences between polynomials, rational functions, exponential functions, and trigonometric functionsUse algebra techniques for solving systems of equationsSolve real-world problems with probabilitySolve optimization problems with derivatives and integralsWho this book is forIf you are a Python programmer who wants to develop intelligent solutions that solve challenging business problems, then this book is for you. To better grasp the concepts explained in this book, you must have a thorough understanding of advanced mathematical concepts, such as Markov chains, Euler's formula, and Runge-Kutta methods as the book only explains how these techniques and concepts can be implemented in Python.
The Steady Navier-Stokes System: Basics of the Theory and the Leray Problem (Advances in Mathematical Fluid Mechanics)
by Mikhail Korobkov Konstantin Pileckas Remigio RussoThis book provides a successful solution to one of the central problems of mathematical fluid mechanics: the Leray’s problem on existence of a solution to the boundary value problem for the stationary Navier—Stokes system in bounded domains under sole condition of zero total flux. This marks the culmination of the authors' work over the past few years on this under-explored topic within the study of the Navier—Stokes equations. This book will be the first major work on the Navier—Stokes equations to explore Leray’s problem in detail. The results are presented with detailed proofs, as are the history of the problem and the previous approaches to finding a solution to it. In addition, for the reader’s convenience and for the self-sufficiency of the text, the foundations of the mathematical theory for incompressible fluid flows described by the steady state Stokes and Navier—Stokes systems are presented. For researchers in this active area, this book will be a valuable resource.
The Steam Team Explains: More Than 100 Amazing Science Facts
by Robert WinstonHave you ever wondered what makes electricity? Or what's inside an atom? Or how high the Moon really is? Or what light is made of and why you need it?The STEAM team provides all the answers in this colorful, fact-packed, and informative book, explaining more than 100 key STEAM concepts in a clear way that will appeal to children aged five and above.This is the perfect visual introduction to the key concepts children need to know about all things STEAM. Each topic is explained using illustrated characters that represent science, technology, engineering, art, and maths. The second book in The STEAM Team series, The STEAM Team Explains is an essential read for young STEAM fans.
The Stieltjes Integral
by David Cruz-Uribe Gregory ConvertitoThe Stieltjes Integral provides a detailed, rigorous treatment of the Stieltjes integral. This integral is a generalization of the Riemann and Darboux integrals of calculus and undergraduate analysis, and can serve as a bridge between classical and modern analysis. It has applications in many areas, including number theory, statistics, physics, and finance. It begins with the Darboux integral, builds the theory of functions of bounded variation, and then develops the Stieltjes integral. It culminates with a proof of the Riesz representation theorem as an application of the Stieltjes integral. For much of the 20th century the Stjeltjes integral was a standard part of the undergraduate or beginning graduate student sequence in analysis. However, the typical mathematics curriculum has changed at many institutions, and the Stieltjes integral has become less common in undergraduate textbooks and analysis courses. This book seeks to address this by offering an accessible treatment of the subject to students who have had a one semester course in analysis. This book is suitable for a second semester course in analysis, and also for independent study or as the foundation for a senior thesis or Masters project. Features: Written to be rigorous without sacrificing readability. Accessible to undergraduate students who have taken a one-semester course on real analysis. Contains a large number of exercises from routine to challenging.
The Stochastic Nature of Environmental Phenomena and Processes
by Costas Varotsos Georgy GolitsynThis book is useful not only for young but also for mature scientists who are preparing methods for studying natural environmental phenomena and their alteration by human activity. As spatio-temporal scales of natural environmental phenomena become larger, the variance of their fluctuations increases or decreases over wide ranges. Such signals appear not only in environmental dynamics but everywhere, even in seemingly unrelated fields. When one looks at these signals more closely, one finds that they are governed by specific, measurable scaling laws, that is, a statistical relationship between big and small, between fast and slow. In this book, the authors describe and explain processes that have puzzled environmental science for decades, such as the climate crisis, clouds, turbulence, earthquakes, cosmic rays, sea wind waves, hurricanes, floods, radiation field in the climate system, ozone hole, greenhouse effect, air pollution, El Nino / La Nina, nowcasting models.
The Stock-Flow Consistent Approach
by Marc Lavoie Gennaro ZezzaSelected essays from the eminent economist, Wynne Godley, tracing the development of his work and illuminating the key theories and models that made his name. Essays focus not only on the stock-flow coherent approach, but also lay out Godley's views about the European Union and the stability of its monetary policy.
The Story of Algebraic Numbers in the First Half of the 20th Century: From Hilbert to Tate (Springer Monographs in Mathematics)
by Władysław NarkiewiczThe book is aimed at people working in number theory or at least interested in this part of mathematics. It presents the development of the theory of algebraic numbers up to the year 1950 and contains a rather complete bibliography of that period. The reader will get information about results obtained before 1950. It is hoped that this may be helpful in preventing rediscoveries of old results, and might also inspire the reader to look at the work done earlier, which may hide some ideas which could be applied in contemporary research.
The Story of More: How We Got to Climate Change and Where to Go from Here
by Hope JahrenFrom the bestselling author of Lab Girl comes a slim, urgent missive on the defining issue of our time: here is Hope Jahren on climate change, our timeless pursuit of more, and how the same human ambition that got us here can also be our salvation.Hope Jahren is an award-winning geobiologist, a brilliant writer, and one of the seven billion people with whom we share this earth. The Story of More is her impassioned open letter to humanity as we stand at the crossroads of survival and extinction. Jahren celebrates the long history of our enterprising spirit--which has tamed wild crops, cured diseases, and sent us to the moon--but also shows how that spirit has created excesses that are quickly warming our planet to dangerous levels. In short, highly readable chapters, she takes us through the science behind the key inventions--from electric power to large-scale farming and automobiles--that, even as they help us, release untenable amounts of carbon dioxide into the atmosphere. She explains the current and projected consequences of greenhouse gases--from superstorms to rising sea levels--and shares the science-based tools that could help us fight back. At once an explainer on the mechanisms of warming and a capsule history of human development, The Story of More illuminates the link between our consumption habits and our endangered earth. It is the essential pocket primer on climate change that will leave an indelible impact on everyone who reads it.
The Story of More: How We Got to Climate Change and Where to Go from Here
by Hope Jahren&“Hope Jahren is the voice that science has been waiting for.&” —Nature &“A superb account of the deadly struggle between humanity and what may prove the only life-bearing planet within ten light years, written in a brilliantly sardonic and conversational style.&” —E. O. Wilson&“Hope Jahren asks the central question of our time: how can we learn to live on a finite planet? The Story of More is thoughtful, informative, and—above all—essential.&” —Elizabeth Kolbert, author of The Sixth ExtinctionHope Jahren is an award-winning scientist, a brilliant writer, a passionate teacher, and one of the seven billion people with whom we share this earth. In The Story of More, she illuminates the link between human habits and our imperiled planet. In concise, highly readable chapters, she takes us through the science behind the key inventions—from electric power to large-scale farming to automobiles—that, even as they help us, release greenhouse gases into the atmosphere like never before. She explains the current and projected consequences of global warming—from superstorms to rising sea levels—and the actions that we all can take to fight back. At once an explainer on the mechanisms of global change and a lively, personal narrative given to us in Jahren&’s inimitable voice, The Story of More is the essential pocket primer on climate change that will leave an indelible impact on everyone who reads it.
The Strategy of Conflict
by Thomas C. SchellingThe text opens to rational analysis a crucial field of politics, the international politics of threat, or as the current term goes, of deterrence.
The Structure and Stability of Persistence Modules
by Frédéric Chazal Vin De Silva Marc Glisse Steve OudotThis book is a comprehensive treatment of the theory of persistence modules over the real line. It presents a set of mathematical tools to analyse the structure and to establish the stability of such modules, providing a sound mathematical framework for the study of persistence diagrams. Completely self-contained, this brief introduces the notion of persistence measure and makes extensive use of a new calculus of quiver representations to facilitate explicit computations. Appealing to both beginners and experts in the subject, The Structure and Stability of Persistence Modules provides a purely algebraic presentation of persistence, and thus complements the existing literature, which focuses mainly on topological and algorithmic aspects.
The Structure of Complex Lie Groups (Chapman & Hall/CRC Research Notes in Mathematics Series)
by Dong Hoon LeeComplex Lie groups have often been used as auxiliaries in the study of real Lie groups in areas such as differential geometry and representation theory. To date, however, no book has fully explored and developed their structural aspects.The Structure of Complex Lie Groups addresses this need. Self-contained, it begins with general concepts
The Structures of Mathematical Physics: An Introduction
by Steven P. StarkovichThis textbook serves as an introduction to groups, rings, fields, vector and tensor spaces, algebras, topological spaces, differentiable manifolds and Lie groups --- mathematical structures which are foundational to modern theoretical physics. It is aimed primarily at undergraduate students in physics and mathematics with no previous background in these topics. Applications to physics --- such as the metric tensor of special relativity, the symplectic structures associated with Hamilton's equations and the Generalized Stokes's Theorem --- appear at appropriate places in the text. Worked examples, end-of-chapter problems (many with hints and some with answers) and guides to further reading make this an excellent book for self-study. Upon completing this book the reader will be well prepared to delve more deeply into advanced texts and specialized monographs in theoretical physics or mathematics.
The Student's Introduction to Mathematica®
by Bruce F. Torrence Eve A. TorrenceThe unique feature of this compact student's introduction is that it presents concepts in an order that closely follows a standard mathematics curriculum, rather than structure the book along features of the software. As a result, the book provides a brief introduction to those aspects of the Mathematica software program most useful to students. The second edition of this well loved book is completely rewritten for Mathematica 6 including coverage of the new dynamic interface elements, several hundred exercises and a new chapter on programming. This book can be used in a variety of courses, from precalculus to linear algebra. Used as a supplementary text it will aid in bridging the gap between the mathematics in the course and Mathematica. In addition to its course use, this book will serve as an excellent tutorial for those wishing to learn Mathematica and brush up on their mathematics at the same time.