In a self-contained manner it proceeds from mathematical and theoretical considerations to actual practical computer routines. With over 100 new routines bringing the total to well over 300, plus upgraded versions of the original routines, the new edition remains the most practical, comprehensive handbook of scientific computing available today.

    Janell Carroll clearly conveys foundational biological and health issues, extensively cites both current and classic research, and addresses all material in a fresh and fun way; her book helps teach students what they need, and want, to know about sexuality. Her focus takes into account the social, religious, ethnic, racial, and cultural contexts of today's students. Dr. Carroll has used feedback from the first edition to add even further value to this popular title-streamlining student pedagogy and providing dynamic learning opportunities through Active Summaries at the end of chapters, a new online student tutorial, new video components, and content for Classroom Response Systems. This continues to be the text most representative of today's students, incorporating new sexual position art, a new pronunciation guide, and (for instructors) a new cross-cultural Slang Guide.

    It includes adjustments for common fertility problems, what to do if you are over forty, and considerations for trying again after a pregnancy loss.

    This title shows what criteria admissions committees use to evaluate applicants, their qualifications, and how to showcase their talents in personal essays, letters of recommendations, and preselection interviews.

    Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. "Machine Learning for Hackers" is ideal for programmers from any background, including business, government, and academic research.Develop a naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data

    Tony goes beyond teaching you how to use Lightroom. Tony shows you why and when to use each feature to create stunning, natural photos. When Lightroom isn t the best tool, Tony suggests better alternatives. Combining the benefits of video training and book learning, this video book gives you over 14 hours of video and dozens of free presets and raw images to practice with. If you learn better with video, watch the video training and refer to the book for quick reference. If you prefer reading, the book is concise and practical, and each chapter links to relevant videos when you want to understand a topic more deeply or see it used in the real world. Tony covers every aspect of Lightroom in-depth, but structures his teaching so that both beginner and advanced photographers can learn as efficiently as possible. If you just want a quick start, you can watch the first video or read the first chapter and you'll be organizing and editing your pictures in less than an hour. If you want to know more about a specific feature, switch to that video or jump to that chapter in the ebook. If you want to know everything about Lightroom, watch the videos and read the book from start to finish.

    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.

    If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skills

    From the book, you learn why the field is important, both as a branch of engineering and as a science. If you are a computer scientist or an engineer, you will enjoy the book, because it provides a cornucopia of new ideas for representing knowledge, using knowledge, and building practical systems. If you are a psychologist, biologist, linguist, or philosopher, you will enjoy the book because it provides an exciting computational perspective on the mystery of intelligence. The Knowledge You Need This completely rewritten and updated edition of Artificial Intelligence reflects the revolutionary progress made since the previous edition was published. Part I is about representing knowledge and about reasoning methods that make use of knowledge. The material covered includes the semantic-net family of representations, describe and match, generate and test, means-ends analysis, problem reduction, basic search, optimal search, adversarial search, rule chaining, the rete algorithm, frame inheritance, topological sorting, constraint propagation, logic, truth

    Techniques for using simple accessories such as bounce cards and diffusers, as well as how to improve a lighting scenario by enhancing it rather than overwhelming it, show photographers how to master this challenging aspect of portraiture.

    Clinicians with adolescent clients will find this up-to-date revision an invaluable resource.

    We start of with the root of it all - the history of witchcraft and wicca. Then, we further move ahead by giving clarifications on what a witch really is. After which, we will provide you with the different gods and goddesses of witchcraft and wicca as well as different spells that you can use! If you are someone with minimal or no experience in witchcraft and wicca, this book is totally for you. We can help you get started really quick. If you're someone who has a little more experience and background to witchcraft and wicca, this book is still for you as you will find new bits to learn from this book. We've got heaps of resources and information all laid out in a quick, concise, and easy to read format to keep you learning for hours. In this book, you will learn the following awesome information: Bring you back to the past by learning the history of witchcraft! Teach you what it really means to be a witch! Provide you an ultimate list of gods and goddesses of witchcraft and wicca! An in depth tutorial on progression systems - and our personal recommendations! Provide you information about visualization, divination, rituals, and rites! An in-depth guide to spell casting! - Cast your spells the right way! An overview and discussion on how you can write your very own spells! A list of spells that really work! and much much more…. So what are you waiting for? Get your materials ready and learn the way of the witches today!!! ***SPECIAL OFFER!!!*** LIMITED TIME OFFER 40% OFF (Regular Price $4.99) This #1 Best Selling Critically Acclaimed Book is now available Globally on Amazon - Download it Now!

    At roughly 44-pages, this Introduction to the Paleo lifestyle is a brief, easy-to-read, and informative resource to help you rolling right away.Abel James, host of the wildly-popular Fat-Burning Man Show, covers a brief history of the natural human diet, paleo fitness, meal ideas, 9 delicious recipes, a shopping list, and a complete paleo-in-a-page resource to get you started (or back on track) right away.Take a look at “Paleo in a Page” if you’re in a hurry to get started.Learn where the concept of Paleo came from and where it’s going.See why you don’t need to buy expensive supplements, miracle fat loss potions, or do endless hours of cardio to lose weight and improve your health.Find out principles that spur fat loss by supercharging your metabolism and muscle growth.Eating less and exercising more is not necessary. A calorie is not a calorie. You do not need to tether yourself to a treadmill. When you embrace the Paleo lifestyle, you can be lean and enjoy life. It’s a piece of (gluten-free) cake.

    Theoretical, yet applied. Statistics for Business and Economics, Eleventh Edition, gives you the best of both worlds. Using a rich array of applications from a variety of industries, McClave/Sincich/Benson clearly demonstrates how to use statistics effectively in a business environment.The book focuses on developing statistical thinking so the reader can better assess the credibility and value of inferences made from data. As consumers and future producers of statistical inferences, readers are introduced to a wide variety of data collection and analysis techniques to help them evaluate data and make informed business decisions. As with previous editions, this revision offers an abundance of applications with many new and updated exercises that draw on real business situations and recent economic events. The authors assume a background of basic algebra.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.