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Richard W. Hamming ... Publisher: ‎Dover Publications; (November, 2004) - Language:‎ English - 880 pages - ISBN-10:‎ 0486439453 - ISBN-13:‎ 978-0486439457.

Understanding calculus is vital to the creative applications of mathematics in numerous areas. This text focuses on the most widely used applications of mathematical methods, including those related to other important fields such as probability and statistics. The four-part treatment begins with algebra and analytic geometry and proceeds to an exploration of the calculus of algebraic functions and transcendental functions and applications. In addition to three helpful appendixes, the text features answers to some of the exercises. Appropriate for advanced undergraduates and graduate students, it is also a practical reference for professionals. 1985 edition. 310 figures. 18 tables.

Jon Krohn, Grant Beyleveld, Aglaé BassensPublisher ‏ : ‎ Addison-Wesley Professional; 1st edition (September, 2019) - Language: ‎ English - 416 pages - ISBN-10: ‎ 0135116694 - ISBN-13: ‎ 978-0135116692.

Deep learning is one of today’s hottest fields. This approach to machine learning is achieving breakthrough results in some of today’s highest profile applications, in organizations ranging from Google to Tesla, Facebook to Apple. Thousands of technical professionals and students want to start leveraging its power, but previous books on deep learning have often been non-intuitive, inaccessible, and dry. In Deep Learning Illustrated, three world-class instructors and practitioners present a uniquely visual, intuitive, and accessible high-level introduction to the techniques and applications of deep learning. Packed with vibrant, full-color illustrations, it abstracts away much of the complexity of building deep learning models, making the field more fun to learn, and accessible to a far wider audience.

Part I’s high-level overview explains what Deep Learning is, why it has become so ubiquitous, and how it relates to concepts and terminology such as Artificial Intelligence, Machine Learning, Artificial Neural Networks, and Reinforcement Learning. These opening chapters are replete with vivid illustrations, easy-to-grasp analogies, and character-focused narratives. Building on this foundation, the authors then offer a practical reference and tutorial for applying a wide spectrum of proven deep learning techniques. Essential theory is covered with as little mathematics as possible, and illuminated with hands-on Python code. Theory is supported with practical “run-throughs” available in accompanying Jupyter notebooks, delivering a pragmatic understanding of all major deep learning approaches and their applications: machine vision, natural language processing, image generation, and videogaming. To help readers accomplish more in less time, the authors feature several of today’s most widely-used and innovative deep learning libraries, including TensorFlow and its high-level API, Keras; PyTorch, and the recently-released high-level Coach, a TensorFlow API that abstracts away the complexity typically associated with building Deep Reinforcement Learning algorithms.

Ann Lehman, Norm O'Rourke, Larry Hatcher, Edward J. Stepanski ... 481 pages - Language: ‎ English - Publisher: ‎ SAS Institute; (February, 2005) - ISBN-10: ‎1590475763 - ISBN-13: 978-1590475768.

Doing statistics in JMP has never been easier! Learn how to manage JMP data and perform the statistical analyses most commonly used in research in the social sciences and other fields with JMP for Basic Univariate and Multivariate Statistics: A Step-by-Step Guide, authored by Ann Lehman, Norm O'Rourke, Larry Hatcher, and Edward Stepanski. Clearly written instructions guide you through the basic concepts of research and data analysis, enabling you to easily perform statistical analyses and solve problems in real-world research. Step by step, you'll discover how to obtain descriptive and inferential statistics, summarize results, perform a wide range of JMP analyses, interpret the results, and more. Topics include: screening data for errors and selecting subsets with the JMP Distribution platform, computing the coefficient alpha reliability index (Cronbach's alpha) for a multiple-item scale, performing bivariate analyses for all types of variables, performing a one-way analysis of variance (ANOVA), performing a multiple regression, and using the JMP Fit Model platform to perform a one-way multivariate analysis of variance (MANOVA). This user-friendly book introduces researchers and students of the social sciences to JMP and to elementary statistical procedures, while more advanced statistical procedures that are presented make it an invaluable reference guide for experienced researchers as well.

Cameron Davidson-Pilon  ... 256 pages - Publisher: ‎Addison-Wesley Professional; (October, 2015) - Language: English -  ISBN-10: 0133902838 - ISBN-13: 978-0133902839.

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice–freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention.

Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You’ll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you’ve mastered these techniques, you’ll constantly turn to this guide for the working PyMC code you need to jumpstart future projects.

Coverage includes: • Learning the Bayesian “state of mind” and its practical implications • Understanding how computers perform Bayesian inference • Using the PyMC Python library to program Bayesian analyses • Building and debugging models with PyMC • Testing your model’s “goodness of fit” • Opening the “black box” of the Markov Chain Monte Carlo algorithm to see how and why it works • Leveraging the power of the “Law of Large Numbers” • Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning • Using loss functions to measure an estimate’s weaknesses based on your goals and desired outcomes • Selecting appropriate priors and understanding how their influence changes with dataset size • Overcoming the “exploration versus exploitation” dilemma: deciding when “pretty good” is good enough • Using Bayesian inference to improve A/B testing • Solving data science problems when only small amounts of data are available.

Randall Pruim ... 820 pages - Publisher: American Mathematical Society; 2nd Edition (April, 2018) - Language: English - ISBN-10: ‎1470428482 - ISBN-13: 978-1470428488.

Foundations and Applications of Statistics simultaneously emphasizes both the foundational and the computational aspects of modern statistics. Engaging and accessible, this book is useful to undergraduate students with a wide range of backgrounds and career goals. The exposition immediately begins with statistics, presenting concepts and results from probability along the way. Hypothesis testing is introduced very early, and the motivation for several probability distributions comes from p-value computations. Pruim develops the students' practical statistical reasoning through explicit examples and through numerical and graphical summaries of data that allow intuitive inferences before introducing the formal machinery. The topics have been selected to reflect the current practice in statistics, where computation is an indispensible tool. In this vein, the statistical computing environment $\textsf{R}$ is used throughout the text and is integral to the exposition. Attention is paid to developing students' mathematical and computational skills as well as their statistical reasoning. Linear models, such as regression and ANOVA, are treated with explicit reference to the underlying linear algebra, which is motivated geometrically. Foundations and Applications of Statistics discusses both the mathematical theory underlying statistics and practical applications that make it a powerful tool across disciplines. The book contains ample material for a two-semester course in undergraduate probability and statistics. A one-semester course based on the book will cover hypothesis testing and confidence intervals for the most common situations.

Subal C. Kumbhakar, Hung-Jen Wang, Alan P. Horncastle ... 374 pages - Language: ‎ English - Publisher: ‎ Cambridge Univ. Press; (January, 2015) - ISBN-10: ‎ 1107609461 - ISBN-13: 978-1107609464.

Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.

Rémy Lentzner ... 111 pages - Language: ‎English - Publisher: Remylent; (April, 2021).

Excel makes life easier because its powerful functions are easily accessible. With the spreadsheet you can handle numbers, dates, formulas or simply text. This book will be an asset to improve your skills by learning more complex functions and finally to save a lot of time. The examples presented in this manual will help you to analyse data better. Do not hesitate to test them in order to discover excel's strengths. It reflects real management situations. You can reproduce them with all Excel versions. Accessible to all, this manual guides you, step by step, to increase your knowledge.

Russell Hibbeler ... 923 pages - Language: English - ISBN-10: 1292247304 - ISBN-13: 978-1292247304.

For Fluid Mechanics courses found in Civil and Environmental, General Engineering, and Engineering Technology and Industrial Management departments.Fluid Mechanics is intended to provide a comprehensive guide to a full understanding of the theory and many applications of fluid mechanics. The text features many of the hallmark pedagogical aids unique to Hibbeler texts, including its student-friendly, clear organization. The text supports the development of student problem-solving skills through a large variety of problems, representing a broad range of engineering disciplines that stress practical, realistic situations encountered in professional practice, and provide varying levels of difficulty. The text offers flexibility in that basic principles are covered in chapters 1-6, and the remaining chapters can be covered in any sequence without the loss of continuity.Updates to the 2nd Edition result from comments and suggestions from colleagues, reviewers in the teaching profession, and many of the author’s students, and include expanded topic coverage and new Example and Fundamental Problems intended to further students’ understanding of the theory and its applications.Pearson Mastering™ Engineering is not included. Students, if Pearson Mastering Engineering is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Mastering Engineering should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.Reach every student by pairing this text with Pearson Mastering EngineeringMastering is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, Mastering personalizes the learning experience and improves results for each student.

Jeffrey C. Evans, Michael A. Malusis ... 576 pages - Publisher: CRC Press; (March, 2017) ... Language: English - ISBN-10: 0415695155 - ISBN-13: 978-0415695152.

Ground improvement has been one of the most dynamic and rapidly evolving areas of geotechnical engineering over the past forty years. Moreover, increasing development of sites with marginal soils has made ground improvement an increasingly important core component of geotechnical engineering curricula. This textbook addresses the latest and most effective techniques for ground improvement, at a level designed for undergraduate and graduate-level university students and practitioners seeking fundamental background in these techniques. Thus, Fundamentals of Ground Improvement Engineering is for students and professionals. The book is written to, first, broadly introduce key ground improvement methods and, second, to provide readers with a thorough understanding of the theory, design principles, and construction approaches that underpin each method. Major topic areas covered include compaction, grouting, vibratory methods, soil mixing, stabilization and solidification, cut-off walls, dewatering, consolidation, geosynthetics, and earth retention. The book contains numerous problems and worked examples, and is well illustrated with photographs, schematics, charts and graphs.The rich companion website provides instructor resources and videos of the techniques, which are useful for students and for professionals to show clients.

T.J. Quirk ... 264 Pages - Language: ‎English - Publisher: ‎Springer; 2nd edition (March, 2021).

This textbook is a step-by-step guide for high school, community college, and undergraduate students who are taking a course in applied statistics and wish to learn how to use Excel to solve statistical problems. All of the statistics problems in this book come from the following fields of study: business, education, psychology, marketing, engineering and advertising. Students will learn how to perform key statistical tests in Excel without being overwhelmed by statistical theory.Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific statistics problems. The book offers guidance in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel’s drop-down formula menus (e.g., simple linear regression, multiple correlations and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an appendix. An additional practice test allows readers to test their understanding of each chapter by attempting to solve a specific statistics problem using Excel; the solution to each of these problems is also given in an appendix. This book is a tool that can be used either by itself or along with any good statistics book.​

Ahmed Sheikh ... 92 pages - Language: English - Publisher: Independently published; (December, 2019) - ISBN-10: ‎1651129436 - ISBN-13: 978-1651129432.

Excel has its immense purposeful applications. 95% of the users apply the basic form. There are functions and advanced excel formula that can be used for complex calculations. The functions are designed for easy lookup and formatting of large pool of data whereas the advanced excel formula are implemented to get new information from a given particular set of data.

Allan Murray ... 368 pages - Publisher: ‎Apress; (December, 2020) - Language: English - ISBN-10 : 1484264665 - ISBN-13:‎ 978-1484264669.

Learn the Advanced Excel features and skills that are not taught in classes. Advanced Excel tricks, XLOOKUP, SUMPRODUCT, Power Query, Power Pivot and much more. This book is perfect for anyone who uses Excel regularly and wants to take the step to the next level. If you are a Beginner to Intermediate level Excel user, this book is a must-have. You will learn the advanced Excel features and techniques that others do not know.

In this book, you will learn: - Tricks and innovative ways to boost your productivity in Excel. - The best functions in Excel including XLOOKUP, FILTER, SORTBY, SWITCH and more with 'real world' examples. - Advanced formatting techniques to take your formatting to another level. - Create dynamic, interactive, and effective charts. - Power Query - possibly the greatest and most-important upgrade in the history of Excel. - Power Pivot - no more lookups. Learn to model your data, handle large volumes with ease and perform powerful DAX calculations. 

This book it a must-have to stay ahead of the crowd and be a success in the workplace. Take advantage of the power in modern Excel.

Tonny J. Oyana ... 354 pages - Language: ‎English - Publisher: CRC Press; 2nd edition (September, 2020) - ISBN-10: 0367860856 - ISBN-13:‎ 978-0367860851.

In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes.

New in the Second Edition: Includes new practical exercises and worked-out examples using R + Presents a wide range of hands-on spatial analysis worktables and lab exercises + All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences + Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods + Explains big data, data management, and data mining

Frederick J. Gravetter, Larry B. Wallnau, Lori-Ann B. Forzano, James E. Witnauer ... 608 pages - Language: English - Publisher:‎ Cengage Learning; 10th edition (January, 2020) - ISBN-10: 0357365291 - ISBN-13: ‎978-0357365298.

Updated with the latest research, Gravetter/Wallnau/Forzano/Witnauer's Essentials of Statistics for the Behavioral Sciences, 10th Edition delivers straightforward instruction, hands-on learning tools and real-world examples to help you go beyond memorizing formulas to truly understanding the hows and whys of statistics. Giving extra focus to the topics students typically struggle with most, the authors take time to fully explain statistical concepts. Integrated applications reinforce concepts, offering further support to ensure that even those with a weak background in mathematics can fully grasp statistics. The authors also illustrate how an understanding of statistical procedures will help you comprehend published findings -- ultimately leading you to become a savvy consumer of information. Also available, the MindTap digital learning solution helps you learn on your own terms.

Zhishen Wu, Yufei Wu, Mohamed F. M. Fahmy ... 517 pages - Language: ‎ English - Publisher: ‎Woodhead Publishing; (July, 2020).

Structures Strengthened with Bonded Composites presents a comprehensive resource on the strengthening of concrete, reinforced and prestressed concrete, masonry, steel and other composite structures using externally-bonded FRP composites. The book emphasizes a systematic and fundamental investigation on bonding and debonding behavior of the FRP-concrete interface and structural performances of FRP-strengthened structures with a combination of experimental, theoretical and numerical studies. This book will appeal to all those concerned with strengthening and retrofitting of existing structures from the effect of additional anticipated loads in the civil sector.

Discusses the FRP strengthening of different types of structures, including bridges, tunnels, buildings, historic structures and underwater constructions + Establishes a systematic theory on interfacial fracture mechanics and clarifies different debonding mechanisms + Describes design methods and makes comparison of design considerations and methods among different countries + Presents temperature and fatigue effects and long-term behavior for different strengthening methods.

John Sall, Mia L. Stephens, Ann Lehman, Sheila Loring ... 1017 pages - Language: English - Publisher: SAS Institute; 6th edition (February, 2017).

This book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises.Updated for JMP 13, JMP Start Statistics, Sixth Edition includes many new features, including: The redesigned Formula Editor. + New and improved ways to create formulas in JMP directly from the data table or dialogs. + Interface updates, including improved menu layout. + Updates and enhancements in many analysis platforms. + New ways to get data into JMP and to save and share JMP results. + Many new features that make it easier to use JMP.

James Ramsay, Giles Hooker, Spencer Graves ... 202 pages - Publisher: Springer; (April, 2010) - Language: English - ISBN-10: 0387981845 - ISBN-13: 978-0387981840.

The book provides an application-oriented overview of functional analysis, with extended and accessible presentations of key concepts such as spline basis functions, data smoothing, curve registration, functional linear models and dynamic systems. Functional data analysis is put to work in a wide a range of applications, so that new problems are likely to find close analogues in this book. The code in R and Matlab in the book has been designed to permit easy modification to adapt to new data structures and research problems.

From the BackCover: Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This volume in the UseR! Series is aimed at a wide range of readers, and especially those who would like apply these techniques to their research problems.  It complements Functional Data Analysis, Second Edition and Applied Functional Data Analysis: Methods and Case Studies by providing computer code in both the R and Matlab languages for a set of data analyses that showcase functional data analysis techniques. The authors make it easy to get up and running in new applications by adapting the code for the examples, and by being able to access the details of key functions within these pages. This book is accompanied by additional web-based support at for applying existing functions and developing new ones in either language. The companion 'fda' package for R includes script files to reproduce nearly all the examples in the book including all but one of the 76 figures.

M. S. Rahman, M. B. Can Ülker ... 506 pages - Publisher: CRC Press; (September, 2018) ... Language: English - ISBN-10: 149877167X - ISBN-13: 978-1498771672.

Modeling and computing is becoming an essential part of the analysis and design of an engineered system. This is also true of "geotechnical systems", such as soil foundations, earth dams and other soil-structure systems. The general goal of modeling and computing is to predict and understand the behaviour of the system subjected to a variety of possible conditions/scenarios (with respect to both external stimuli and system parameters), which provides the basis for a rational design of the system. The essence of this is to predict the response of the system to a set of external forces. The modelling and computing essentially involve the following three phases: (a) Idealization of the actual physical problem, (b) Formulation of a mathematical model represented by a set of equations governing the response of the system, and (c) Solution of the governing equations (often requiring numerical methods) and graphical representation of the numerical results. This book will introduce these phases.

Anjan Patel ... 191 pages ... Language: English - Publisher:‎ Woodhead Publishing; (January, 2019).

Geotechnical Investigation and Improvement of Ground Conditions covers practical information on ground improvement and site investigation, considering rock properties and engineering geology and its relation to construction. The book covers geotechnical investigation for construction projects, including classic case studies with geotechnical significance. Additional sections cover soil compaction, soil stabilization, drainage and dewatering, grouting methods, the stone column method, geotextiles, fabrics and earth reinforcement, miscellaneous methods and tools for ground improvement, geotechnical investigation for construction projects, and forensic geotechnical engineering. Final sections present a series of site-specific case studies.

Dedicated to ground improvement techniques and geotechnical site investigation + Provides practical guidance on site-specific geotechnical investigation and the subsequent interpretation of data + Presents site-specific case studies with geotechnical significance + Includes site investigation of soils and rocks + Gives field-oriented information and guidance.

Andrew Lees ... 320 pages - Publisher: ICE Publishing; (November, 2016) ... Language: English - ISBN-10: 0727760874 - ISBN-13: 978-0727760876.

Geotechnical Finite Element Analysis provides the latest practical guidance and comprehensive explanations of using Finite Element Analysis (FEA) in geotechnical design from planning an analysis through to results validation and reporting. This highly illustrated guide expands on the practical benefits of FEA, such as a faster and less expensive design cycle, increased productivity, and increased revenue, and explains the decisions that need to be made at each stage Finite Element Design of Geotechnical Structures: Features as the first practical and internationally-applicable guidebook for practitioners in this technically challenging but rapidly growing field Works as a reference tool for competent FEA users by providing quick explanations of complex issues Includes detailed guidance on using FEA together with Eurocode 7 Clarifies the factors to consider when selecting from the various constitutive models Attests as a training aid, facilitated by complete worked examples Geotechnical Finite Element Analysis aims to provide all the essential, practical learning material in one place. As a practical guide, textbook, reference tool and training tool, it is aimed at practicing structural engineers, those undergoing training in geotechnical FEA, design practice and those performing geotechnical FEA in design.

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