Essentially, you are estimating a probability, but then updating that estimate based on other things that you know. This book is designed to give you an intuitive understanding of how to use Bayes Theorem. It starts with the definition of what Bayes Theorem is, but the focus of the book is on providing examples that you can follow and duplicate. Most of the examples are calculated in Excel, which is useful for updating probability if you have dozens or hundreds of data points to roll in.

    It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. However, these ideas are illustrated using a non-traditional language, namely Python. Although I use Python as the language, teaching Python is not the main point of this book. Rather, Python is used to illustrate fundamental principles of design and programming that apply in any language or computing environment. In some places, I have purposely avoided certain Python features and idioms that are not generally found in other languages. There are already many good books about Python on the market; this book is intended as an introduction to computing. Features include the following: *Extensive use of computer graphics. *Interesting examples. *Readable prose. *Flexible spiral coverage. *Just-in-time object coverage. *Extensive end-of-chapter problems.

    It is a great book, not just for beginning programmers, but also for computer users who would want to have an idea what is happening behind the scenes as they work with various computer programs. In this book, you are going to learn what the C programming language entails, how to write conditions, expressions, statements and even commands, for the language to perform its functions efficiently. You will learn too how to organize relevant expressions so that after compilation and execution, the computer returns useful results and not error messages. Additionally, this book details the data types that you need for the C language and how to present it as well. Simply put, this is a book for programmers, learners taking other computer courses, and other computer users who would like to be versed with the workings of the most popular computer language, C. In this book You'll learn: What Is The C Language? Setting Up Your Local Environment The C Structure and Data Type C Constants and Literals C Storage Classes Making Decisions In C The Role Of Loops In C Programming Functions in C Programming Structures and Union in C Bit Fields and Typedef Within C. C Header Files and Type Casting Benefits Of Using The C Language ...and much more!! Download your copy today! click the BUY button and download it right now!

    You’ll learn the fundamentals step-by-step with the help of numerous examples, discovering first-hand how to match, extract, and transform text by matching specific words, characters, and patterns.Regular expressions are an essential part of a programmer’s toolkit, available in various Unix utlilities as well as programming languages such as Perl, Java, JavaScript, and C#. When you’ve finished this book, you’ll be familiar with the most commonly used syntax in regular expressions, and you’ll understand how using them will save you considerable time.Discover what regular expressions are and how they workLearn many of the differences between regular expressions used with command-line tools and in various programming languagesApply simple methods for finding patterns in text, including digits, letters, Unicode characters, and string literalsLearn how to use zero-width assertions and lookaroundsWork with groups, backreferences, character classes, and quantifiersUse regular expressions to mark up plain text with HTML5

    Photographs of actual cadaver dissections along with numerous schematic drawings aid the student in anatomic orientation. Chapters are organized by region, in order of a typical dissection. Each chapter contains two sections: a description and illustration of organs, and a depiction of those organs within the regional anatomy. New to this edition is an increase of MRI pictures, approximately 30 schematic drawings made even more precise, and an updated text where appropriate.A Brandon-Hill recommended title.

    His theory of gravity offered his contemporaries their first glimpse of how the universe actually works, and his mathematics enabled later generations to walk on the moon. Today, we know that gravity keeps our feet on the ground, but how many of us know how Newton's greatest discovery really works? In Newton & Gravity, Paul Strathern encapsulates several of Newton's more mind-expanding discoveries, explaining in lively prose their cultural context as well as Newton's early obsession with science (bordering on dementia) that made his revolutionary vision possible. Just a few of the big ideas covered here are:Newton's discovery of calculus at age twenty-three Why gravity, one of the greatest human insights of all time, was in fact a hunch and how it actually works Why it took Newton twenty years after his discovery to reveal to the world the secret of gravity and planetary motionIdeal for the intelligent reader eager to better understand how and why the universe works the way it does, Newton & Gravity is a fascinating refresher course that makes physics not only fun but shockingly easy to understand.

    Right?! Machine Learning is a branch of computer science that wants to stop programming computers using a detailed list of commands to follow blindly. Instead, their aim is to implement high-level routines that teach computers how to approach new and unknown problems – these are called algorithms. In practice, they want to give computers the ability to Learn and to Adapt. We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before – or even knew existed. Unfortunately, the true power and applications of today’s Machine Learning Algorithms remain deeply misunderstood by most people. Through this book I want fix this confusion, I want to shed light on the most relevant Machine Learning Algorithms used in the industry. I will show you exactly how each algorithm works, why it works and when you should use it. Supervised Learning Algorithms K-Nearest Neighbour Naïve Bayes Regressions Unsupervised Learning Algorithms: Support Vector Machines Neural Networks Decision Trees

    The book emphasizes a general introduction to probability theory and provides a detailed discussion of specific designs and analyses that are typically encountered in ecology and environmental science. Appropriate for use as either a stand-alone or supplementary text for upper-division undergraduate or graduate courses in ecological and environmental statistics, ecology, environmental science, environmental studies, or experimental design, the Primer also serves as a resource for environmental professionals who need to use and interpret statistics daily but have little or no formal training in the subject.

    UNDERSTANDING NUTRITION is at the forefront of the latest advances in human nutrition-helping you understand what the scientific facts tell us about human nutrition and health. Ellie Whitney and Sharon Rady Rolfes begin with the basics-an introduction to the nutrients; and then guide you through every important topic covered in today's nutrition courses. Linked chapter by chapter to the CengageNOW, a new online resource that provides you with PERSONALIZED STUDY tools, Thomson Audio Study Products, animations that clarify complex processes, and much more, this Eleventh Edition of UNDERSTANDING NUTRITION features everything you need to keep on top of this quickly evolving field.

    Scripting is a way to harness and customize the power of any Unix system, and it's an essential skill for any Unix users, including system administrators and professional OS X developers. But beneath this simple promise lies a treacherous ocean of variations in Unix commands and standards.bash Cookbook teaches shell scripting the way Unix masters practice the craft. It presents a variety of recipes and tricks for all levels of shell programmers so that anyone can become a proficient user of the most common Unix shell -- the bash shell -- and cygwin or other popular Unix emulation packages. Packed full of useful scripts, along with examples that explain how to create better scripts, this new cookbook gives professionals and power users everything they need to automate routine tasks and enable them to truly manage their systems -- rather than have their systems manage them.

    Extensively illustrated and user-friendly, the text offers examples pf how knowledge of biochemistry is essential for understanding the molecular basis of health and disease. The 26th edition also features expanded content on results of the Human Genome Project. Perfect as both text and USMLE review.

    Demonstrates the programming language's strength as a Web development tool, covering syntax, data types, built-ins, the Python standard module library, and real world examples

    Now Aaron T. Beck and his distinguished colleagues present an extensively rewritten and updated second edition, incorporating over a decade's worth of significant theoretical, clinical, and empirical gains. In one volume, the authors offer both a comprehensive overview of scientific knowledge and a detailed guide to individualized intervention. Practitioners gain essential tools for effectively managing their most complex, challenging cases - and providing real help to patients who once might have been considered untreatable. Timely and authoritative, this indispensable volume belongs on the desks of clinical psychologists, psychiatrists, clinical social workers, counselors, and other mental health practitioners, as well as students and residents in these fields. It will serve as a core text in advanced undergraduate- and graduate-level courses and in psychiatric residency programs.

    In the successful, accessible style of Tony Gaddis’ best-selling texts, useful examples and detail-oriented explanations allow students to become comfortable with fundamental concepts and logical thought processes used in programming without the complication of language syntax. Students gain confidence in their program design skills to transition into more comprehensive programming courses.The book is ideal for a programming logic course taught as a precursor to a language-specific introductory programming course, or for the first part of an introductory programming course.

    Instead of wandering through loads of theory, we will understand CSS more practically so that we can design a webpage using CSS. We have used Notepad for the examples in this book. Alternatively, you can also use Notepad++ or any advanced editor. All that you need to do is copy the code and paste it into Notepad. Upon execution, you will get the output as depicted in the screenshots. Screenshots are provided for each sample code. Coding gets better with practice. The examples in this book are compatible with almost every browser. Instead of using the verbatim code, you can modify the code and see the change in the output, thereby understanding the subtle nuances of CSS. By the end of the book, with practice, you can achieve better things and get more acquainted with CSS.