You may find it for free on the web. Purchase of the Kindle edition includes wireless delivery.

    We are in an era where entire businesses are built on Instagram; kids in their bedrooms are racking up tens of millions of YouTube views; bloggers are becoming millionaires from their kitchen tables, and businesses are getting more attention from a viral video than a Super Bowl ad. But in a space that moves so fast, how can businesses keep up - let alone compete? And how do you make sure that your activity is profitable? Whether it’s building a targeted fanbase, selling more of your products & services or serving customers, every piece of your social media marketing campaign should be making you money. Combining the ‘holy grail’ marketing principles from some of history’s most successful marketers with the very latest social media strategies gives savvy businesses of all size a chance to ‘do’ social media in an entirely new way. Gone are the days of fumbling around in the dark. The new era is about testing, measuring and profit. From the psychological triggers that make us buy; employing social proof to stand out; using (and faking) controversy to sell more or just simply demonstrating your true competitive advantage, profitable social media marketing is here. As Head Ninja at Exposure Ninja, Tim Cameron-Kitchen has personally worked with hundreds of businesses of all shapes and sizes, and seen first hand how doing the right things on social media can transform a business. Yvonne Ivanescu came to Exposure Ninja from one of the world’s highest profile marketing agencies, and brought her brand experience to help business on the front line. This book is the distillation of everything that makes a profitable campaign, laid out in step-by-step instructions for you to follow and apply to your own business - whatever your size or market. So whether you’re a local plumber looking to pick up leads from Twitter, or an independent e-commerce site wanting the attention of influential bloggers, the strategies and profitable shortcuts for entrepreneur-run businesses in this book will give you a chance to compete in competitive markets where time and budget is of the essence.

    Negotiating this minefield and emerging with flying colours is a source of great strain and anxiety for Indian pupils and parents alike. Who can guide students to develop good study habits and thus get better results?ENTER 13 STEPS TO BLOODY GOOD MARKS.After the stupendous success of 13 Steps to Bloody Good Luck and 13 Steps to Bloody Good Wealth, bestselling author Ashwin Sanghi (along with co-author, Ashok Rajani) presents a power-packed little book that provides simple, straightforward and effective steps that are a sure-fire way to obtain Bloody Good Marks!

    "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems."

    joyfully shows you how to make nature's numbers dance."--Bill Nye (the science guy)The Magic of Math is the math book you wish you had in school. Using a delightful assortment of examples-from ice-cream scoops and poker hands to measuring mountains and making magic squares-this book revels in key mathematical fields including arithmetic, algebra, geometry, and calculus, plus Fibonacci numbers, infinity, and, of course, mathematical magic tricks. Known throughout the world as the "mathemagician," Arthur Benjamin mixes mathematics and magic to make the subject fun, attractive, and easy to understand for math fan and math-phobic alike."A positively joyful exploration of mathematics."-Publishers Weekly, starred review"Each [trick] is more dazzling than the last."-Physics World

    By presenting actual experiences and analyzing them as they are described, the author conveys the developmental thought processes employed and shows a style of thinking that leads to successful results is something that can be learned. Along with spectacular successes, the author also conveys how failures contributed to shaping the thought processes. Provides the reader with a style of thinking that will enhance a person's ability to function as a problem-solver of complex technical issues. Consists of a collection of stories about the author's participation in significant discoveries, relating how those discoveries came about and, most importantly, provides analysis about the thought processes and reasoning that took place as the author and his associates progressed through engineering problems.

    Did screenwriter Danny Rubin know what he was doing when he wrote it? That it would star Bill Murray and become a hit? That it would become a touchstone for major religions? That psychologists would come to prescribe the movie to their patients? Follow this unique screenplay's exciting journey through agents, directors, studios, stars and the writer's own confused brain to emerge as one of the most delightful and profoundly affecting comedies of all time. For movie lovers and screenwriters alike, "How To Write Groundhog Day" includes the original screenplay, notes, scene sketches, and a personal tour of the Hollywood writing process from this popular screenwriting teacher.

    It introduces preemptive opening bids, overcalls and takeout doubles.

    

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    Based on Big Nerd Ranch's popular Android Bootcamp course, this guide will lead you through the wilderness using hands-on example apps combined with clear explanations of key concepts and APIs. This book focuses on practical techniques for developing apps compatible with all versions of Android widely used today (Android 2.2 - 4.2). Write and run code every step of the way - creating apps that catalog crime scenes, browse photos, track your jogging route, and more. Each chapter and app has been designed and tested to provide the knowledge and experience you need to get started in Android development. Write and run code every step of the way -- creating apps that catalog crime scenes, browse photos, track your jogging route, and more. Each chapter and app has been designed and tested to provide the knowledge and experience you need to get started in Android development."Big Nerd Ranch provided the training we needed to get hundreds of engineers building skillfully on Android. This book is a great distillation of that training and will be a huge help to anyone looking to ramp up as well." - Mike Shaver, Director of Mobile Engineering, Facebook"...a must-have for the developer just starting in Android or ready for more advanced techniques. I was impressed with this book's content and clarity of presentation. The authors explain simple and complex Android topics with equal ease." - James Steele, author of The Android Developer's Cookbook

    With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You'll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media.Learn how to apply the tidy text format to NLPUse sentiment analysis to mine the emotional content of textIdentify a document's most important terms with frequency measurementsExplore relationships and connections between words with the ggraph and widyr packagesConvert back and forth between R's tidy and non-tidy text formatsUse topic modeling to classify document collections into natural groupsExamine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages

    The book assumes no prior knowledge of computer programming and progressively covers all the essential steps needed to become confident and proficient in using R within a day. Topics include how to input, manipulate, format, iterate (loop), query, perform basic statistics on, and plot data, via a step-by-step technique and demonstrations using in-built datasets which the reader is encouraged to replicate on their computer. Each chapter also includes exercises (with solutions) to practice key skills and empower the reader to build on the essentials gained during this introductory course.

    Topics discussed include solid state physics, radioactivity, statistical physics, cosmology, astrophysics, the Schrodinger equation and more.

    The title says it is the hard way to learn to writecode but it’s actually not. It’s the “hard” way only in that it’s the way people used to teach things. In this book youwill do something incredibly simple that all programmers actually do to learn a language: 1. Go through each exercise. 2. Type in each sample exactly. 3. Make it run.That’s it. This will be very difficult at first, but stick with it. If you go through this book, and do each exercise for1-2 hours a night, then you’ll have a good foundation for moving on to another book. You might not really learn“programming” from this book, but you will learn the foundation skills you need to start learning the language.This book’s job is to teach you the three most basic essential skills that a beginning programmer needs to know:Reading And Writing, Attention To Detail, Spotting Differences.