'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

    However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques that allow programmers to develop their own functional data structures. The author includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs are easily adaptable to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.

    This guidebook is aimed clearly at the needs of the student, with a thorough understanding of, and provision for, the potential conceptual difficulties he or she is likely to encounter.

    

    We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world

    Each self-contained chapter consists of three sections. The first describes the statistic, including how it is used and what information it provides. The second section reviews how it works, how to calculate the formula, the strengths and weaknesses of the technique, and the conditions needed for its use. The final section provides examples that use and interpret the statistic. A glossary of terms and symbols is also included.New features in the second edition include:an interactive CD with PowerPoint presentations and problems for each chapter including an overview of the problem's solution; new chapters on basic research concepts including sampling, definitions of different types of variables, and basic research designs and one on nonparametric statistics; more graphs and more precise descriptions of each statistic; and a discussion of confidence intervals.This brief paperback is an ideal supplement for statistics, research methods, courses that use statistics, or as a reference tool to refresh one's memory about key concepts. The actual research examples are from psychology, education, and other social and behavioral sciences.Materials formerly available with this book on CD-ROM are now available for download from our website www.psypress.com. Go to the book's page and look for the 'Download' link in the right-hand column.

    It includes many new standards, new technologies and new vendor-specific terms.

    If you wouldlike to purchase both the physical text and MyProgrammingLab search for ISBN-10: 0132989999/ISBN-13: 9780132989992. That packageincludes ISBN-10: 0132855836/ISBN-13: 9780132855839 and ISBN-10: 0132891557/ISBN-13: 9780132891554. MyProgrammingLab should only be purchased when required by an instructor. In "Starting Out with Java: From Control Structures through Objects", Gaddis covers procedural programming control structures and methods before introducing object-oriented programming. As with all Gaddis texts, clear and easy-to-read code listings, concise and practical real-world examples, and an abundance of exercises appear in every chapter. "

    This is a very old science and its gems have lost their charm for us through everyday use. We have tried in this book to refresh them for you. The main part of the book is made up of problems. The best way to deal with them is: Solve the problem by yourself - compare your solution with the solution in the book (if it exists) - go to the next problem. However, if you have difficulties solving a problem (and some of them are quite difficult), you may read the hint or start to read the solution. If there is no solution in the book for some problem, you may skip it (it is not heavily used in the sequel) and return to it later. The book is divided into sections devoted to different topics. Some of them are very short, others are rather long. Of course, you know arithmetic pretty well. However, we shall go through it once more, starting with easy things. 2 Exchange of terms in addition Let's add 3 and 5: 3+5=8. And now change the order: 5+3=8. We get the same result. Adding three apples to five apples is the same as adding five apples to three - apples do not disappear and we get eight of them in both cases. 3 Exchange of terms in multiplication Multiplication has a similar property. But let us first agree on notation.

    The 4 quilts in this pattern use 1 big block to make quilts that are about 45 inches square finished. The units for these quilts include four patches, nine patches, half square triangles and tri square triangles.

    Updated atlas contains maps of every U.S. state that are 35% larger than the standard atlas version plus over 350 detailed city inset and national park maps and a comprehensive, unabridged index. Road construction projects and updates highlighted for every state and conveniently located above the maps. Contains mileage chart showing distances between 77 North American cities and national parks with driving times map. Tough spiral binding allows the book to lay open easily. Other Features Best of the Road - Our editor's favorite road trips from our Best of the Road collection follows scenic routes along stretches of coastline, both east and west, to forests mountains, and prairies; and through small towns and big cities. For a weekend or a week there's something for everyone. Tell Rand! As much as we work to keep our atlases up to date, conditions change quickly and new construction projects begin frequently. If you know of something we haven't captured in our atlas, let us know at randmcnally.com/tellrand. Tourism websites and phone numbers for every U.S. state and Canadian province on map pages

    This Rosary tool has also been consistently in the Amazon top ten best selling books of Prayer since every month since its release; this includes paperback and kindle prayer books. Buy with confidence and may it enhance your opportunity to pray to Our Lady.This is a tool to allow you to use your Kindle to pray the rosary. This version of the rosary is intended to allow for praying the rosary with the turn of each page acting as a rosary bead. It contains all four rosary mysteries Joyful, Sorrowful, Glorious, and Luminous. The table of contents will allow you to jump to any of the four mysteries. Given that the Kindle, Nook, and other eBook devices allow thousands of books to be carried within them, it makes sense that the most powerful prayer in the world should also be included. Turning one page for each bead of the rosary makes the device feel and respond like a rosary necklace. Praying the rosary is an art which includes a certain rhythm of changing beads and prayers while in contemplation. Other rosary books either teach the prayers or outline the process but don’t account for the rhythm an art of contemplation that the process itself supports. This version allows that process to be integrated into the book itself; no beads required. While I personally love rosary beads, I don’t always have them available. I also like having the precise bible scriptures associated with each Mystery integrated into the process itself; it allows a more detailed focus by reading the actual living word of God without losing rhythm. While I personally know what the mysteries are about and what each decade story is, it adds a bit of opportunity to read in detail the bible passages of each mystery while not breaking stride with the prayer process. And, if there is ever a moment of distraction by events around me, I never lose my exact spot in praying the rosary.I pray that this book enhances opportunity for you to pray the rosary on many occasions when otherwise you may not have, and I hope it enhances your prayers on a regular basis through deeper connection with the scriptures which are the living word of God. The following updates were made based on user recommendations:VERSION UPDATED JULY 22, 2012 - Changed the table of contents to show the correct day for Luminous Mysteries to be prayed 'Thursday', updated the Glory Be prayer to be included after the first 3 Hail Mary's at the opening of each Mystery, Updated the Glory Be to be worded more technically correct.VERSION UPDATED DECEMBER 11, 2011 - Changed language of Apostle's Creed to match Catholic Church New Translation, fixed misspelled word "beech" to read "beseech", fixed missing bible verse for Mysteries "crowning with thorns" and "coronation of mary".

    Using real-life case studies and written with a student-centered approach, this new edition provides students with the necessary knowledge and skills to enable them to undertake a piece of business research making the best use of IT where appropriate.

    Python is a beautiful computer language. It is simple, and it is intuitive. Python is used by a sorts of people – data scientists use it for much of their number crunching and analytics; security testers use it for testing out security and IT attacks; it is used to develop high-quality web applications and many of the large applications that you use on the internet are also written in Python, including YouTube, DropBox, and Instagram. Are you interested in learning Python? Then settle in and learn the basics in just 7 days - enough for you to be comfortable in moving on to the next level without any trouble.Are you interested in learning Python? Then settle in and learn the basics in just 7 days - enough for you to be comfortable in moving on to the next level without any trouble. In this book you'll learn: Setting Up Your Environment Let’s Get Programming Variables and Programs in Files Loops, Loops and More Loops Functions Dictionaries, Lists, and Tuples The “for” Loop Classes Modules File Input/Output Error Handling and much more! Now it's time for you to start your journey into Python programming! Click on the Buy Now button above and get started today!

    The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition includes a new section on orthogonal projections and minimization problems. The sections on self-adjoint operators, normal operators, and the spectral theorem have been rewritten. New examples and new exercises have been added, several proofs have been simplified, and hundreds of minor improvements have been made throughout the text.