Cases, datasets, and examples allow for a more real-world perspective and explore relevant uses of regression techniques in business today.

    This book is built around the idea that students must study the discipline of psychology as a whole, that the sub-disciplines are intricately connected, and that human behavior is best understood by exploring its functioning state in addition to its potential dysfunctions.

    This is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains, a number of more advanced topics, from which an instructor can choose to match the goals of a particular course. These topics include transforms, sums of random variables, least squares estimation, the bivariate normal distribution, and a fairly detailed introduction to Bernoulli, Poisson, and Markov processes. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis has been just intuitively explained in the text, but is developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems. The book has been widely adopted for classroom use in introductory probability courses within the USA and abroad.

    Included are step-by-step instructions on how to carry out Bayesian data analyses.Download Link : readbux.com/download?i=0124058884            0124058884 Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan PDF by John Kruschke

    They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.

    Whether you're a student, a professional, or just curious about statistical analysis, Head First's brain-friendly formula helps you get a firm grasp of statistics so you can understand key points and actually use them. Learn to present data visually with charts and plots; discover the difference between taking the average with mean, median, and mode, and why it's important; learn how to calculate probability and expectation; and much more.Head First Statistics is ideal for high school and college students taking statistics and satisfies the requirements for passing the College Board's Advanced Placement (AP) Statistics Exam. With this book, you'll:Study the full range of topics covered in first-year statistics Tackle tough statistical concepts using Head First's dynamic, visually rich format proven to stimulate learning and help you retain knowledge Explore real-world scenarios, ranging from casino gambling to prescription drug testing, to bring statistical principles to life Discover how to measure spread, calculate odds through probability, and understand the normal, binomial, geometric, and Poisson distributions Conduct sampling, use correlation and regression, do hypothesis testing, perform chi square analysis, and moreBefore you know it, you'll not only have mastered statistics, you'll also see how they work in the real world. Head First Statistics will help you pass your statistics course, and give you a firm understanding of the subject so you can apply the knowledge throughout your life.

    The book covers four major topics—cells, genetics, evolution/diversity, and ecology—followed by nine chapters on animal and plant physiology. Human applications and the most up-to-date information on important issues show readers how biology relates to their own lives. New Process of Science sections within the text draw readers into the material and provide real-world examples of how the scientific method is applied.Biology Today CELLS: Essential Chemistry for Biology, The Molecules of Life, A Tour of the Cell, The Working Cell, Cellular Respiration: Obtaining Energy from Food, Photosynthesis: Using Light to Make Food. GENETICS: Cellular Reproduction: Cells from Cells, Patterns of Inheritance, The Structure and Function of DNA, How Genes are Controlled, DNA Technology. EVOLUTION AND DIVERSITY: How Populations Evolve, How Biological Diversity Evolves, The Evolution of Microbial Life, Plants, Fungi, and the Move onto Land, The Evolution of Animals. ECOLOGY: The Ecology of Organisms and Populations, Communities and Ecosystems, Human Impact on the Environment. ANIMAL STRUCTURE AND FUNCTION: Unifying Concepts of Animal Structure and Function, Nutrition and Digestion, Circulation and Respiration , The Body's Defenses, Hormones, Reproduction and Development, Nervous, Sensory, and Motor Systems. PLANT STRUCTURE AND FUNCTION: The Life of a Flowering Plant, The Working Plant.For all readers interested in a biology text that focuses on the core concepts readers need to make scientifically informed decisions throughout their lives.

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

    This updated edition of Ross's classic bestseller provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries.This book now contains a new section on compound random variables that can be used to establish a recursive formula for computing probability mass functions for a variety of common compounding distributions; a new section on hiddden Markov chains, including the forward and backward approaches for computing the joint probability mass function of the signals, as well as the Viterbi algorithm for determining the most likely sequence of states; and a simplified approach for analyzing nonhomogeneous Poisson processes. There are also additional results on queues relating to the conditional distribution of the number found by an M/M/1 arrival who spends a time t in the system; inspection paradox for M/M/1 queues; and M/G/1 queue with server breakdown. Furthermore, the book includes new examples and exercises, along with compulsory material for new Exam 3 of the Society of Actuaries.This book is essential reading for professionals and students in actuarial science, engineering, operations research, and other fields in applied probability.

    Assuming no prior science knowledge, this book supports main concepts with clinical applications, making them more relevant to students pursuing careers in the allied health field.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas- sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con- ducted in statistics departments while data mining and machine learning re- search was conducted in computer science departments. Statisticians thought that computer scientists were reinventing the wheel. Computer scientists thought that statistical theory didn't apply to their problems. Things are changing. Statisticians now recognize that computer scientists are making novel contributions while computer scientists now recognize the generality of statistical theory and methodology. Clever data mining algo- rithms are more scalable than statisticians ever thought possible. Formal sta- tistical theory is more pervasive than computer scientists had realized.

    Filled with critical insights from respected authors, education researchers, and expert practitioners, this comprehensive volume features twenty-six chapters in six primary areas of interest: Principles of Leadership, Moral Leadership, Culture and Change, Standards and Systems, Diversity and Leadership, and the Future of Leadership.

    You’ll learn how to combine social web data, analysis techniques, and visualization to find what you’ve been looking for in the social haystack—as well as useful information you didn’t know existed.Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.Get a straightforward synopsis of the social web landscapeUse adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, LinkedIn, and Google+Learn how to employ easy-to-use Python tools to slice and dice the data you collectExplore social connections in microformats with the XHTML Friends NetworkApply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detectionBuild interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google

    Dive into this collection of 10 contemporary romance novels and novellas ranging from sweet to sizzling: Up Close and Personal by MAGDA ALEXANDER NEW RELEASE! Desperate to pay her mother's medical bills, Caitlyn Bennett's thrilled when Sterling MacKay hires her as his personal assistant. But soon the reclusive billionaire demands things no gal Friday should be expected to do. Should she walk away? Or surrender to her desires … and him? Split Decision by USA Today Bestselling Author WENDY ELY NEW RELEASE! Sports reporter Grace Avery is up for a promotion, but only if she gets an interview with the notoriously private, heavy weight champion, Rally Brewer. Grace discovers who Rally is beyond the boxing ring. Little does anyone know, as Grace gets Rally to open up, a two-year-old secret is in jeopardy. Is revealing his secret worth gaining Grace’s love? Stud Unleashed: Barry by KYLIE GILMORE NEW RELEASE! Successful, not-so-great-with-the-ladies, nice guy Barry Furnukle can’t believe his luck when Amber Lewis agrees to date him. But when the world’s most awesome date (birding and fro-yo) lands him in the friend zone, it’s time to unleash his inner stud to win the woman he can’t forget. Setting Sail by ALLIE BONIFACE NEW RELEASE! When real estate agent Jason McClintock discovers his billionaire client’s latest target is the historic diner owned and run by his high school crush, Pearl DeVane, things get more than a little complicated. Does forging a successful career mean giving up everything from his past, including the only woman to ever steal his heart? Tempting Vivi by LIZ KELLY NEW RELEASE! Graduating college and starting her dream job, Vivi DuVal’s confidence is severely shaken, sending her spinning right into the arms of heroic Lane Kettering. But their ultra romantic beach fling may turn into nothing but tabloid fodder when Lane’s secret is revealed, tossing Vivi into some very hot, tempting water. A Masterpiece Of Our Love by NIKKI LYNN BARRETT Their lives are entwined by a tragedy. Now twenty years later, neither Becca or Hunter can deny the deeper feelings they have for the other. Their bond is tested when an unknown face from the past wants them to remember the entire events of the fateful crash that changed their lives. Escape: Part One by SYDNEY HOLMES When beautiful and mysterious Rowan Baker moves upstairs from Shane Adams, he’s instantly captivated, but as an experienced Private Investigator, he can’t shake the suspicion that Rowan is hiding something. Rowan is good at keeping her distance from people, but can’t seem to stay away from Shane. The closer they get, the more she fears he won’t accept her if he learns the truth.Borrowed Stilettos by REBECCA J. CLARK Plans go hilariously awry when mild-mannered Audrey Thompson dresses as Ava, her flamboyant but cowardly twin, in order to break up with Ava's fiancé, Zach Banister. However, as Audrey pretends to be Ava—which means stuffing her bra and tottering around in borrowed stilettos—she can’t help falling for Zach herself. Little does she know he has his own agenda, one that involves a seduction she can’t refuse. Geek God by VICTORIA BARBOUR Looks can be deceiving. Just ask Classics professor Jillian Carew.