This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests. Based on practical experiences at companies that each run more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for practitioners who want to improve the way they make data-driven decisions. Learn how to - Use the scientific method to evaluate hypotheses using controlled experiments - Define key metrics and ideally an Overall Evaluation Criterion - Test for trustworthiness of the results and alert experimenters to violated assumptions - Build a scalable platform that lowers the marginal cost of experiments close to zero - Avoid pitfalls like carryover effects and Twyman's law - Understand how statistical issues play out in practice.

    In this lively and groundbreaking new book, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers. From internet sites like Google and Amazon that know your tastes better than you do, to a physician's diagnosis and your child's education, to boardrooms and government agencies, this new breed of decision makers are calling the shots. And they are delivering staggeringly accurate results. How can a football coach evaluate a player without ever seeing him play? Want to know whether the price of an airline ticket will go up or down before you buy? How can a formula outpredict wine experts in determining the best vintages? Super crunchers have the answers. In this brave new world of equation versus expertise, Ayres shows us the benefits and risks, who loses and who wins, and how super crunching can be used to help, not manipulate us.Gone are the days of solely relying on intuition to make decisions. No businessperson, consumer, or student who wants to stay ahead of the curve should make another keystroke without reading Super Crunchers.

    Within the industry, studies on game mechanics and behavioral psychology have become proliferate. However, few people understand how to merge the two fields into experience designs that reliably increases business metrics and generates a return on investment. Gamification Pioneer Yu-kai Chou takes reader on a journey to learn his twelve years of obsessive research in creating the Octalysis Framework, and how to apply the framework to create engaging and successful experiences in their product, workplace, marketing, and personal lives. Effective gamification is a combination of game design, game dynamics, behavioral economics, motivational psychology, UX/UI (User Experience and User Interface), neurobiology, technology platforms, as well as ROI-driving business implementations. This book explores the interplay between these disciplines to capture the core principles that contribute to good gamification design. The goal for this book is to become a strategy guide to help readers master the games that truly make a difference in their lives. Readers who absorb the contents of this book will have literally obtained what many companies pay tens of thousands of dollars to acquire. The ultimate aim is to enable the widespread adoption of good gamification and human-focused design in all types of industries.

    The revised structure, separating out the introductory and more advanced material will make it easier to use the book on a variety of courses. This new edition now includes chapters on Interaction Design, Universal Access and Rich Interaction, as well as covering the latest developments in ubiquitous computing and Web technologies, making it the ideal text to provide a grounding in HCI theory and practice.

    It offers insights about trade-offs that can be made and techniques for even the most unique design challenges. The book will help readers master agile information structures while meeting their unique needs on such devices as smart phones, GPS systems, and tablets.The book provides examples showing how to: model and shape information to adapt itself to users' needs, goals, and seeking strategies; reduce disorientation and increase legibility and way-finding in digital and physical spaces; and alleviate the frustration associated with choosing from an ever-growing set of information, services, and goods. It also describes relevant connections between pieces of information, services and goods to help users achieve their goals.This book will be of value to practitioners, researchers, academics, andstudents in user experience design, usability, information architecture, interaction design, HCI, web interaction/interface designer, mobile application design/development, and information design. Architects and industrial designers moving into the digital realm will also find this book helpful.

    The Art of Game Design: A Book of Lenses shows that the same basic principles of psychology that work for board games, card games and athletic games also are the keys to making top-quality video games. Good game design happens when you view your game from many different perspectives, or lenses. While touring through the unusual territory that is game design, this book gives the reader one hundred of these lenses—one hundred sets of insightful questions to ask yourself that will help make your game better. These lenses are gathered from fields as diverse as psychology, architecture, music, visual design, film, software engineering, theme park design, mathematics, writing, puzzle design, and anthropology. Anyone who reads this book will be inspired to become a better game designer—and will understand how to do it.

    A simple, easy-to-follow guide, illustrated with plenty of full-color examples, this book will lead you through the process of creating great designs from start to finish. Good design principles are not rocket science, and using the information contained in this book will help you create stunning web sites.Understand the design process, from discovery to implementation Understand what makes "good design" Developing pleasing layouts using grids, the rule of thirds, balance and symmetry Use color effectively, develop color schemes and create a palette Use textures, lines, points, shapes, volumes and depth Learn how good typography can make ordinary designs look great Effective imagery: choosing, editing and placing images And much more Throughout the book, you'll follow an example design, from concept to completion, learning along the way. The book's full-color layout and large format (8" x 10") make The Principles Of Beautiful Wed Design a pleasure to read.Editorial Reviews"The Principles of Beautiful Web Design is a good book to kick start your graphic-design journey. The biggest benefit that I got from this book is the knowledge to learn from great designs as opposed to just admiring them in a state of awe." - Slashdot.org"Jason is a great writer, and the book is quite easy to read. It's put together wonderfully, including many full color screenshots and other forms of imagery that make the book a pleasure to read. I'd definitely recommend the book to anyone in Web design." - MondayByNoon"Jason Beaird covers web design in a way that non-designers can understand. He walks you through all of the aspects of design development from initial meeting to finished product. If you are just getting into web development, this is a must read." - Blogcritics.org"This is a thoroughly practical guide to web design that is very well written: good technical depth in easy-to-understand language with excellent illustrations and graphics that support the text. For many users it will be the only web-design text they will need. For those who want to further advance their skills and knowledge it will provide a sound foundation." - PC Update"His "Don't just tell, show!" style makes this book accessible to everyone... It strikes a carefully thought-out balance between describing principles and illustrating them. It is clear and well structured, with practical examples in every chapter." - Mitch Wheat

    But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool.In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling.Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.

    Some can generate coherent user experiences, others produce confusing patchwork designs. Some inspire teams to contribute to them, while others are neglected. Some get better with time, more cohesive and better functioning; others get worse, becoming bloated and cumbersome.Throughout this book, Alla Kholmatova, previously a lead designer at FutureLearn, will share an approach and the key qualities of effective, enduring design systems. It’s based on Alla’s experiences, case-studies from AirBnB, Atlassian, Eurostar, TED, and Sipgate, plus 18 months of research and interviews — all attempting to figure out what works and what doesn’t work in real-life products. It may not answer every question, but it will help you figure out just the right strategy for establishing and evolving a design system in your organization.

    In this book for designers, developers, and product managers, expert developer and user interface designer Lukas Mathis explains how to make usability the cornerstone of every point in your design process, walking you through the necessary steps to plan the design for an application or website, test it, and get usage data after the design is complete. He shows you how to focus your design process on the most important thing: helping people get things done, easily and efficiently. The author presents a collection of valuable tips - organized in four distinct parts, filled with clever illustrations, and supported by fascinating psychological research. He teaches techniques that help you plan and evaluate your user interface design, and inspires you to look at design in a whole new way. He tells you exactly what to look for, and what to avoid, in creating applications and websites that people will be excited to use.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success.Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn data science team.

    Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions.Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more.Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.

    Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data.It's increasingly difficult to know what's true. Misinformation, disinformation, and fake news abound. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don't feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data.You don't need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit.We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.

    But how did they decide on what was good for the rest of us? What did they get right and where have they let us down? And what can we learn from the way these experts think that can help us in how we make decisions in our own lives?In How Design Makes The World, bestselling author and designer Scott Berkun takes readers on a journey exploring how designers of all kinds, from software engineers, to urban planners, have succeeded and failed us. By examining daily experiences like going to work, shopping for food, or even just using social media on their phones, readers will learn to see the world in a new and powerful way. They'll ask better questions of the things they buy, use, and make, and discover how easy it is to use ideas from great designers to improve their everyday lives.