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See below for a selection of the latest books from Mathematics category. Presented with a red border are the Mathematics books that have been lovingly read and reviewed by the experts at Lovereading. With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Mathematics books and those from many more genres to read that will keep you inspired and entertained. And it's all free!
Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructor's Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference. At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: Learn the languages of machine learning including Hadoop, Mahout, and Weka Understand decision trees, Bayesian networks, and artificial neural networks Implement Association Rule, Real Time, and Batch learning Develop a strategic plan for safe, effective, and efficient machine learning By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper.
Straightforward, visual and accessible: the Oxford Revise AQA GCSE Maths series offers no-fuss Revision Guides and Workbooks that ease the stress of revision. Every topic is covered on a single page, with a 1-to-1 page match between the Guide and Workbook, giving you a straightforward, pick-up-and-go solution. This AQA GCSE Maths Foundation Revision Workbook gives you: - Great practice, with questions written precisely in the AQA exam style, and reviewed by practising examiners - 9-1 grades on every question so you can monitor your own progress and set your own goals - Space for you to write your own solutions straight on the page for realistic exam practice - A complete set of mock papers at the back, with 'Next steps' guidance showing you where to go for extra support for tricky topics - Innovative 'Guided Answers' at the back of the book help you to mark your own work - Easy transition if you're using the accompanying AQA Foundation Revision Guide, with every page matched 1-to-1 Perfect for your GCSE preparation, this is the most supportive, targeted revision workbook available.
Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on driver's race Visualizing the association between fat percentage and moisture percentage in Canadian cheese Modeling taxi fares in Chicago using data from millions of rides Analyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include: data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression are also included. In addition, the book offers contingency tables, Chi-square tests, non-parametric methods, and time series methods. The textbook: Includes academic material usually covered in introductory Statistics courses, but with a data science twist, and less emphasis in the theory Relies on Minitab to present how to perform tasks with a computer Presents and motivates use of data that comes from open portals Focuses on developing an intuition on how the procedures work Exposes readers to the potential in Big Data and current failures of its use Supplementary material includes: a companion website that houses PowerPoint slides; an Instructor's Manual with tips, a syllabus model, and project ideas; R code to reproduce examples and case studies; and information about the open portal data Features an appendix with solutions to some practice problems Principles of Managerial Statistics and Data Science is a textbook for undergraduate and graduate students taking managerial Statistics courses, and a reference book for working business professionals.
Volume 27 first aims to approach the dynamical systems analysis from a new standpoint; feedback linearisation, a method with a lot of applications. For both linear and non-linear dynamic systems, this method offers an interesting perspective from the qualitative approach stance. The authors examine the implementation of gas-assisted electrical discharge machining of D3 die steel. One of the fundamental disadvantages of the traditional EDM machining process is poor material removal rate. Numerical results for a wide range of Reynolds numbers are presented, including moderate and high Reynolds numbers, and two different numerical schemes to solve this kind of problem are described. For the analysis and interpretation of probabilistic engineering calculations, including those concerning the estimation of the safety of structures, symmetrical normal distribution is often used. In one study, the authors propose that such a distribution may be a linear combination of normal distribution and Gumbel distribution. This compilation goes on to present the problems that arise from the M|G| queue system busy period and busy cycle, an idle period followed by a busy period. The renewal function is calculated, as well as the peakedness and the modified peakedness for the M|G| busy period and busy cycle time length. Based on earlier research and using new mathematical methods, the authors present a theory using functional integrals for obtaining probability distributions of phase invariants in which N (the number of atoms in the asymmetric unit) doesnt appear anymore. Also proposed is a numerically realisable explicit formula for the solution to the Cauchy problem for a linear elliptic equation. In closing, a mathematical model assessing the effect of tobacco smoking on the dynamics of tuberculosis transmission is formulated and analysed. In the absence and presence of smokers, theoretical results indicate the possibility of the phenomenon of backward bifurcation where a stable disease-free equilibrium co-exists with a stable endemic equilibrium when the associated reproduction threshold is less than unity. However, the analysis of the associated reproduction thresholds of the model with smokers shows that tobacco smoking has a detrimental effect on tuberculosis dynamics.
Mathematics for Enzyme Reaction Kinetics and Reactor Performance is the first set in a unique 11 volume-collection on Enzyme Reactor Engineering. This two volume-set relates specifically to the wide mathematical background required for systematic and rational simulation of both reaction kinetics and reactor performance; and to fully understand and capitalize on the modelling concepts developed. It accordingly reviews basic and useful concepts of Algebra (first volume), and Calculus and Statistics (second volume). A brief overview of such native algebraic entities as scalars, vectors, matrices and determinants constitutes the starting point of the first volume; the major features of germane functions are then addressed. Vector operations ensue, followed by calculation of determinants. Finally, exact methods for solution of selected algebraic equations - including sets of linear equations, are considered, as well as numerical methods for utilization at large. The second volume begins with an introduction to basic concepts in calculus, i.e. limits, derivatives, integrals and differential equations; limits, along with continuity, are further expanded afterwards, covering uni- and multivariate cases, as well as classical theorems. After recovering the concept of differential and applying it to generate (regular and partial) derivatives, the most important rules of differentiation of functions, in explicit, implicit and parametric form, are retrieved - together with the nuclear theorems supporting simpler manipulation thereof. The book then tackles strategies to optimize uni- and multivariate functions, before addressing integrals in both indefinite and definite forms. Next, the book touches on the methods of solution of differential equations for practical applications, followed by analytical geometry and vector calculus. Brief coverage of statistics-including continuous probability functions, statistical descriptors and statistical hypothesis testing, brings the second volume to a close.
Straightforward, visual and accessible: the Oxford Revise AQA GCSE Maths series offers no-fuss Revision Guides and Workbooks that ease the stress of revision. Every topic is covered on a single page, with a 1-to-1 page match between the Guide and Workbook, giving you a straightforward, pick-up-and-go solution. This AQA GCSE Maths Foundation Revision Guide gives you: - A colourful, friendly design using diagrams and visual memory tricks to boost retention - 9-1 GCSE grades on every topic and question so you can monitor your own progress and set your own goals - For the trickier topics, 'Strive-for-5' pages offering dedicated help on the problem areas identified by the AQA examiners - Great practice, with questions written precisely in the AQA exam style, and reviewed by practising examiners - Innovative 'Guided Answers' at the back of the book help you to mark your own work - Easy transition if you're using the accompanying AQA Foundation Revision Workbook, with every page matched 1-to-1 Perfect for your GCSE preparation, this is the most supportive, targeted revision guide available.
The theory of linear topological dynamics is a rapidly growing field of research over the last three decades or so. This book presents a survey of recent results of the author obtained in this field during the period 2016-2019. Without any doubt, this is the first research monograph concerning the topological dynamics of multivalued operators and binary relations, especially, multivalued linear woperators, simple graphs, digraphs and tournaments (we feel duty bound to say that multivalued topological dynamics is still a very undeveloped field of investigation, full of open problems and possible for further expansion). Asiede from that, the main purpose of this monograph is to consider topologically dynamical properties of linear single-valued operators in Frechet spaces and abstract fractional differential equations in Frechet spaces, which could be degenerate or non-degenerate in time variable. In this monograph, we use only two types of fractional derivatives, namely the Caputo time-fractional derivatives and Weyl time-fractional derivatives. However, most results on dynamics of differential equations are given to the abstract differential equations with integer order derivatives, especially those of first and second order in time. The monograph is consistsed of two chapters; the first chapter is further broken down into nine sections, while the second chapter is broken down into seven sections. It is not of introductory character to linear topological dynamics and it is not written in a traditional manner. As in all my previously published monographs, the numbering of definitions, theorems, propositions, remarks, lemmas, corollaries, definitions, etc., are by chapter and section; the bibliography is by author in alphabetic order. Concerning target audience, wWe deeply believe that the book could be of invaluable help to experts in linear topological dynamics, researchers in abstract partial differential equations but and also to PhD students and advanced graduate students in mathematics as well. A potential reader should be familiar with backgrounds including elementary functional analysis, measure and integration theory as well as the basic theory of abstract (degenerate) Volterra integro-differential equations. At some places, the knowledge of graph theory is preferable but not demandedable. This monograph is not intended to be a comprehensive review of current trends; albeit includes several recent results from the field of linear topological dynamics and has more than 450 titles, our reference list is far from being exhaustively complete.
This book provides an accessible introduction to complex systems viewed as networks of automata, using primarily examples drawn from the physics of disordered systems, neural networks, and the origins of life. It is helpful for readers with a university education in science or engineering.
Learn how to easily transform your data into engaging, interactive visual reports! Data is no longer the sole domain of tech professionals and scientists. Whether in our personal, business, or community lives, data is rapidly increasing in both importance and sheer volume. The ability to visualize all kinds of data is now within reach for anyone with a computer and an internet connection. Google Data Studio, quickly becoming the most popular free tool in data visualization, offers users a flexible, powerful way to transform private and public data into interactive knowledge that can be easily shared and understood. Hands On With Google Data Studio teaches you how to visualize your data today and produce professional quality results quickly and easily. No previous experience is required to get started right away--all you need is this guide, a Gmail account, and a little curiosity to access and visualize data just like large businesses and organizations. Clear, step-by-step instructions help you identify business trends, turn budget data into a report, assess how your websites or business listings are performing, analyze public data, and much more. Practical examples and expert tips are found throughout the text to help you fully understand and apply your new knowledge to a wide array of real-world scenarios. This engaging, reader-friendly guide will enable you to: Use Google Data Studio to access various types of data, from your own personal data to public sources Build your first data set, navigate the Data Studio interface, customize reports, and share your work Learn the fundamentals of data visualization, personal data accessibility, and open data API's Harness the power of publicly accessible data services including Google's recently released Data Set Search Add banners, logos, custom graphics, and color palettes Hands On With Google Data Studio: A Data Citizens Survival Guide is a must-have resource for anyone starting their data visualization journey, from individuals, consultants, and small business owners to large business and organization managers and leaders.
This comprehensive text takes a critical look at the modern development of the theory of survey sampling as well as the foundations of survey sampling, and explains how to put this theory into practice. The treatment of non-sampling errors is featured, and a range of other topics, from the problems of coverage to the treatment of non-response, is explored. Real examples, applications, and a large set of exercises are also provided.
This book summarizes some issues involved in developing a theory of decentralized resource allocation mechanism in infinite horizon economies. It constitutes a definitive account of cutting-edge research on a topic of continuing importance in price theory. .
Create loyal, engaged and results focused teams and organizations using a practical five-part servant leadership formula. Think of a world where people go to work completely engaged, are inspired to do more than they ever thought possible, remain 100% loyal to the teams and organizations they belong to, are achieving mind-blowing results, and gladly and even passionately follow their leader's direction. Is that a world you want to be a part of? The reality is you really can! However, it's not the world most people and leaders currently live in. When employees were asked in a Gallup poll whether their supervisor or anyone else at work cared about them, only 4 out of 10 strongly agreed with that statement. That is a startling number. We have a lot of work to do. Old leadership practices don't work anymore. In his work with hundreds of leaders and teams, Michael Rogers has created a practical approach to leadership that works. It is the Care to Lead Leader(TM). Care to Lead Leaders are different than most leaders. Most leaders talk of caring with their lips but are far from actually leading with their hearts. Care to Lead Leaders lead from their heart. They understand that leading from the heart wins the hearts of those they lead, which makes leading more purposeful and a lot easier. Through Michael's five-part SONIC leadership formula, you will become a Care to Lead Leader. You will discover: One simple Care to Lead Leader practice that can literally revolutionize the culture of your teams and/or organizations. How to build real trust on your teams and/or organizations and explode creativity and the volume of ideas. How to have more courage and second guess yourself less. Practical tips on skyrocketing individual performance. The secret to creating the most loyal followers on the planet! How to take your teams and/or organizations to unprecedent levels of achievement and results. In this book, Michael illustrates his ideas and concepts through introspective questions and inspiring stories that keep you engaged and have you regularly looking at your own leadership and asking; Am I the kind of leader people really want to follow? After reading this book, you'll have the tools to apply practical servant leadership approaches that create buy-in into bigger visions, improve loyalty and engagement and move your teams and organizations to unprecedented levels of action.