By pulling together concrete examples of how A/B testing has made an impact, they are inspiring a new generation of companies to make thoughtful, data-driven decisions. Their new book is smart, valuable, and proves just how indispensable A/B testing is today."--MARISSA MAYER, CEO of Yahoo!"Finally, a book on A/B testing and digital optimization that I will eagerly hand out to my clients! It's approachable, not overly technical, and is actually full of real-world examples of testing in action that provide the inspiration for testing that is so badly needed in most companies."-- CALEB WHITMORE, founder and CEO, Analytics Pros; coauthor of Performance Marketing with Google Analytics"A practical and readable guide to get the most out of your online marketing tests. Get it before your competitors do!"-- Tim Ash, CEO, SiteTuners; bestselling author of Landing Page Optimization; and chair of Conversion Conference"Here's the secret to magnificent marketing success: 1. Create a hypothesis. 2. Test it. 3. Be less wrong! In our immensely complex business world, if your organization is not structured to be less wrong every day, your failure is guaranteed. Ready to be less wrong but don't know how? Let Dan and Pete teach you!"-- Avinash Kaushik, author of Web Analytics 2.0; Digital Marketing Evangelist, Google"Savvy marketers have long known that A/B testing is a great way to optimize marketing and generate more revenue. But for too long, it has been considered too hard and complicated for most marketers to use. A/B Testing: The Most Powerful Way to Turn Clicks into Customers shows marketers at all levels of experience why testing is important--and more importantly, it gives them step-by-step guidance on how to get started and get the best results. I'm giving copies of this to my entire team, and I recommend you do as well!"-- Jon Miller, cofounder and VP of Marketing, Marketo"A/B testing that is fast and simple is set to disrupt web measurement and analytics on a massive scale. Every company should be using A/B testing to continuously improve, and anyone who wants to lead the charge on this revolution within their organization will benefit from reading this book."-- Amy Chang, former Global Head of Product, Google Analytics"Much like the prescriptive writing guide The Elements of Style by Strunk and White, A/B Testing is simple in its construction and design, but deceptively powerful and comprehensive in its message and breadth. This book is sure to be the foundational and prescriptive guide to optimization testing."-- Khai Tran, Senior Manager, Product--Online Video Products & Platforms, Disney/ABC Television Group

    A strategic plan helps crystalize the future of an organization--mapping a clear path from where the company stands today to where you wish it to be.It may sound complicated, but Brian Tracy knows how to make it simple. Throughout his career, he has shown countless leaders and organizations how to achieve stunning success. In this concise and practical book, he shares the most important lessons for strategic planning. Readers will discover how to:• Ask the five key questions vital to any strategic plan• Determine a corporate mission that lifts and inspires people• Gain valuable insight with market share/market growth and strategy/operations matrices• Define themselves in relation to their competition• Utilize the concept of "driving force"• Anticipate crises• Reposition their business with new products, services, and technologies• Measure success via clear financial objectives• And moreIncorporating examples ranging from Alexander the Great to IBM and General Electric, Tracy gives readers proven ideas for increasing their company's ROI and maximizing their strengths and opportunities. Powerful and portable, Business Strategy will help readers take control of their company's destiny.

    Howard Farran shows that running a business isn’t all that complicated—if, you’re focusing on the right three areas: •People: maximizing the potential of employees, customers, and yourself.•Time: mastering the efficiency that helps a business turn the biggest profit possible.•Money: learning to love the numbers that function as the business’s scorecard.With simplicity, good humor, and plenty of stories Dr. Farran reveals the actions that can lead anyone to bigger profits, happier people, and a more fulfilling life.

    With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.Use graphics to describe data with one, two, or dozens of variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysisFinally, a concise reference for understanding how to conquer piles of data.--Austin King, Senior Web Developer, MozillaAn indispensable text for aspiring data scientists.--Michael E. Driscoll, CEO/Founder, Dataspora

    This connectedness is found in many incarnations: in the rapid growth of the Internet, in the ease with which global communication takes place, and in the ability of news and information as well as epidemics and financial crises to spread with surprising speed and intensity. These are phenomena that involve networks, incentives, and the aggregate behavior of groups of people; they are based on the links that connect us and the ways in which our decisions can have subtle consequences for others. This introductory undergraduate textbook takes an interdisciplinary look at economics, sociology, computing and information science, and applied mathematics to understand networks and behavior. It describes the emerging field of study that is growing at the interface of these areas, addressing fundamental questions about how the social, economic, and technological worlds are connected.

    Important projects tend to be time constrained, pose huge technical challenges, and suffer from a lack of adequate resources. It's no wonder that project managers are increasingly focusing their attention on risk identification.Identifying and Managing Project Risk is a practical guide to minimizing the possibility of failure in critical projects. The book takes readers step by step through every phase of a project, showing them how to consider the possible risks involved at every point in the process. Relevant figures and diagrams support the text and illustrate key scenarios. At the end of each chapter is an analysis of how the principles just discussed applied to a supreme example of what many once considered a truly impossible project: the building of the Panama Canal.Packed with real-world information, this book is essential reading for any project manager seeking to complete projects smoothly and successfully."

    Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.

    Today, ML algorithms accomplish tasks that - until recently - only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest.In the book, readers will learn how to:Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting.Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

    Lean Analytics steers you in the right direction.This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without.Understand Lean Startup, analytics fundamentals, and the data-driven mindsetLook at six sample business models and how they map to new ventures of all sizesFind the One Metric That Matters to youLearn how to draw a line in the sand, so you’ll know it’s time to move forwardApply Lean Analytics principles to large enterprises and established products

    In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills.Thinking with Data helps you learn techniques for turning data into knowledge you can use. You’ll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You’ll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved.Learn a framework for scoping data projectsUnderstand how to pin down the details of an idea, receive feedback, and begin prototypingUse the tools of arguments to ask good questions, build projects in stages, and communicate resultsExplore data-specific patterns of reasoning and learn how to build more useful argumentsDelve into causal reasoning and learn how it permeates data workPut everything together, using extended examples to see the method of full problem thinking in action

    

    Learn how to fast track your organization's strategy to govern processes, create a process culture, and measure business performance. Best of all, this crystal-clear, convenient sized book can be put to work in your organization immediately!

    Fact. No other skill will give you a better chance of optimising your success and your organisation's success.Every time you negotiate, you are looking for an increased advantage. This book delivers it. From planning, dynamics and strategies, to psychology, tactics and behaviours, nothing will put you in a stronger position to build capability, build negotiation strategies and facilitate negotiations through to successful conclusions. Chapters include:The Clock Face of Negotiation Can You Really Negotiate? Limitations The Architect The 'e' Factor Empowerment Creativity Partnerships The Negotiation Book is your competitive advantage. That's something everyone can agree on.

    Author David Parmenter provides you with everything you need to master and implement a KPI-driven strategy.

    This highly anticipated fourth edition of the most ...Download Link : readmeaway.com/download?i=0128042915            0128042915 Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF by Ian H. WittenRead Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF from Morgan Kaufmann,Ian H. WittenDownload Ian H. Witten's PDF E-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)