Tech companies in general lack the experience, tools, texts, and frameworks to do it well. And the handful of books that share tips and tricks of engineering management don t explain how to supervise employees in the face of growth and change.In this book, author Camille Fournier takes you through the stages of technical management, from mentoring interns to working with the senior staff. You ll get actionable advice for approaching various obstacles in your path, whether you re a new manager, a mentor, or a more experienced leader looking for fresh advice. Pick up this book and learn how to become a better manager and leader in your organization. * Discover how to manage small teams and large/multi-level teams * Understand how to build and bootstrap a unifying culture in teams * Deal with people problems and learn how to mentor other managers and new leaders * Learn how to manage yourself: avoid common pitfalls that challenge many leaders * Obtain several practices that you can incorporate and practice along the way

    Drawing on Lopp's management experiences at Apple, Netscape, Symantec, and Borland, this book is full of stories based on companies in the Silicon Valley where people have been known to yell at each other. It is a place full of dysfunctional bright people who are in an incredible hurry to find the next big thing so they can strike it rich and then do it all over again. Among these people are managers, a strange breed of people who through a mystical organizational ritual have been given power over your future and your bank account.Whether you're an aspiring manager, a current manager, or just wondering what the heck a manager does all day, there is a story in this book that will speak to you.

    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.

    In addition to general advice on basic numeracy, the guide points out common errors and explains the recognized techniques for solving financial problems, analysing information of any kind, and effective decision making. Over one hundred charts, graphs, tables, and feature boxes highlight key points. Also included is an A-Z dictionary of terms covering everything from amortization to zero-sum game. Whatever your business, The Economist Numbers Guide will prove invaluable.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    Over the past 13 years, he has used his one-of-a- kind method to raise more than $400 million--and now, for the first time, he describes his formula to help you deliver a winning pitch in any business situation.Whether you're selling ideas to investors, pitching a client for new business, or even negotiating for a higher salary, "Pitch Anything "will transform the way you position your ideas.According to Klaff, creating and presenting a great pitch isn't an art--it's a simple science. Applying the latest findings in the field of neuroeconomics, while sharing eye-opening stories of his method in action, Klaff describes how the brain makes decisions and responds to pitches. With this information, you'll remain in complete control of every stage of the pitch process."Pitch Anything" introduces the exclusive STRONG method of pitching, which can be put to use immediately: Setting the Frame Telling the Story Revealing the Intrigue Offering the Prize Nailing the Hookpoint Getting a DecisionOne truly great pitch can improve your career, make you a lot of money--and even change your life. Success is dependent on the method you use, not how hard you try. "Better method, more money," Klaff says. "Much better method, much more money." Klaff is the best in the business because his method is much better than anyone else's. And now it's yours.Apply the tactics and strategies outlined in "Pitch Anything" to engage and persuade your audience--and you'll have more funding and support than you ever thought possible.

    Meanwhile, people with important ideas--entrepreneurs, teachers, politicians, and journalists--struggle to make them "stick."In Made to Stick, Chip and Dan Heath reveal the anatomy of ideas that stick and explain ways to make ideas stickier, such as applying the human scale principle, using the Velcro Theory of Memory, and creating curiosity gaps. Along the way, we discover that sticky messages of all kinds--from the infamous "kidney theft ring" hoax to a coach's lessons on sportsmanship to a vision for a new product at Sony--draw their power from the same six traits.Made to Stick will transform the way you communicate. It's a fast-paced tour of success stories (and failures): the Nobel Prize-winning scientist who drank a glass of bacteria to prove a point about stomach ulcers; the charities who make use of the Mother Teresa Effect; the elementary-school teacher whose simulation actually prevented racial prejudice.Provocative, eye-opening, and often surprisingly funny, Made to Stick shows us the vital principles of winning ideas--and tells us how we can apply these rules to making our own messages stick.

    The tools and recipes in this book will help you uncover and solve hidden (and not-so-hidden) problems with your technology, your methodology, and those difficult "people" issues on your team.Project retrospectives help teams examine what went right and what went wrong on a project. But traditionally, retrospectives (also known as "post-mortems") are only helpful at the end of the project--too late to help. You need agile retrospectives that are iterative and incremental. You need to accurately find and fix problems to help the team today.Now, Derby and Larsen show you the tools, tricks, and tips you need to fix the problems you face on a software development project on an on-going basis. You'll see how to architect retrospectives in general, how to design them specifically for your team and organization, how to run them effectively, how to make the needed changes, and how to scale these techniques up. You'll learn how to deal with problems, and implement solutions effectively throughout the project--not just at the end.With regular tune-ups, your team will hum like a precise, world-class orchestra.ContentsForwardPrefaceIntroduction1. Helping your team inspect and adapt2. A retrospective custom-fit for your team3. Leading retrospectives4. Activities to set the stage5. Activities to gather data6. Activities to gather insights7. Activities to decide what to do8. Activities to close the retrospective9. Releases and project retrospectives10. Make it soA1. Facilitation suppliesA2. Debriefing activitiesA3. Activities quick reference matrixA4. Resources for learning facilitation skillsA5. Bibliography

    Virtually every choice we make hinges on how someone generates data . . . and how someone else interprets it--whether we realize it or not.Where do you send your child for the best education? Big Data. Which airline should you choose to ensure a timely arrival? Big Data. Who will you vote for in the next election? Big Data.The problem is, the more data we have, the more difficult it is to interpret it. From world leaders to average citizens, everyone is prone to making critical decisions based on poor data interpretations.In Numbersense, expert statistician Kaiser Fung explains when you should accept the conclusions of the Big Data experts--and when you should say, Wait . . . what? He delves deeply into a wide range of topics, offering the answers to important questions, such as:How does the college ranking system really work?Can an obesity measure solve America's biggest healthcare crisis?Should you trust current unemployment data issued by the government?How do you improve your fantasy sports team?Should you worry about businesses that track your data?Don't take for granted statements made in the media, by our leaders, or even by your best friend. We're on information overload today, and there's a lot of bad information out there.Numbersense gives you the insight into how Big Data interpretation works--and how it too often doesn't work. You won't come away with the skills of a professional statistician. But you will have a keen understanding of the data traps even the best statisticians can fall into, and you'll trust the mental alarm that goes off in your head when something just doesn't seem to add up.Praise for NumbersenseNumbersense correctly puts the emphasis not on the size of big data, but on the analysis of it. Lots of fun stories, plenty of lessons learned--in short, a great way to acquire your own sense of numbers!Thomas H. Davenport, coauthor of Competing on Analytics and President's Distinguished Professor of IT and Management, Babson CollegeKaiser's accessible business book will blow your mind like no other. You'll be smarter, and you won't even realize it. Buy. It. Now.Avinash Kaushik, Digital Marketing Evangelist, Google, and author, Web Analytics 2.0Each story in Numbersense goes deep into what you have to think about before you trust the numbers. Kaiser Fung ably demonstrates that it takes skill and resourcefulness to make the numbers confess their meaning.John Sall, Executive Vice President, SAS InstituteKaiser Fung breaks the bad news--a ton more data is no panacea--but then has got your back, revealing the pitfalls of analysis with stimulating stories from the front lines of business, politics, health care, government, and education. The remedy isn't an advanced degree, nor is it common sense. You need Numbersense.Eric Siegel, founder, Predictive Analytics World, and author, Predictive AnalyticsI laughed my way through this superb-useful-fun book and learned and relearned a lot. Highly recommended! Tom Peters, author of In Search of Excellence

    Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

    And through CODE, we see how this ingenuity and our very human compulsion to communicate have driven the technological innovations of the past two centuries. Using everyday objects and familiar language systems such as Braille and Morse code, author Charles Petzold weaves an illuminating narrative for anyone who’s ever wondered about the secret inner life of computers and other smart machines. It’s a cleverly illustrated and eminently comprehensible story—and along the way, you’ll discover you’ve gained a real context for understanding today’s world of PCs, digital media, and the Internet. No matter what your level of technical savvy, CODE will charm you—and perhaps even awaken the technophile within.

    But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.Topics include:Statistical inference, exploratory data analysis, and the data science processAlgorithmsSpam filters, Naive Bayes, and data wranglingLogistic regressionFinancial modelingRecommendation engines and causalityData visualizationSocial networks and data journalismData engineering, MapReduce, Pregel, and HadoopDoing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

    Green and Robert M. Galford to bring us the essential tool for all consultants, negotiators, and advisors.In today's fast-paced networked economy, professionals must work harder than ever to maintain and improve their business skills and knowledge. But technical mastery of one's discipline is not enough, assert world-renowned professional advisors David H. Maister, Charles H. Green, and Robert M. Galford. The key to professional success, they argue, is the ability to earn the trust and confidence of clients. To demonstrate the paramount importance of trust, the authors use anecdotes, experiences, and examples -- successes and mistakes, their own and others' -- to great effect. The result is an immensely readable book that will be welcomed by the inexperienced advisor and the most seasoned expert alike.

    The reality is that most innovations come from a process of rigorous examination through which great ideas are identified and developed before being realized as new offerings and capabilities.This book introduces the idea of design thinking‚ the collaborative process by which the designer′s sensibilities and methods are employed to match people′s needs not only with what is technically feasible and a viable business strategy. In short‚ design thinking converts need into demand. It′s a human−centered approach to problem solving that helps people and organizations become more innovative and more creative.Design thinking is not just applicable to so−called creative industries or people who work in the design field. It′s a methodology that has been used by organizations such as Kaiser Permanente to icnrease the quality of patient care by re−examining the ways that their nurses manage shift change‚ or Kraft to rethink supply chain management. This is not a book by designers for designers; this is a book for creative leaders seeking to infuse design thinking into every level of an organization‚ product‚ or service to drive new alternatives for business and society.

    This innovative book presents the design process and the best software tools for creating infographics that communicate. Including a special section on how to construct the increasingly popular infographic resume, the book offers graphic designers, marketers, and business professionals vital information on the most effective ways to present data.Explains why infographics and data visualizations work Shares the tools and techniques for creating great infographics Covers online infographics used for marketing, including social media and search engine optimization (SEO) Shows how to market your skills with a visual, infographic resume Explores the many internal business uses of infographics, including board meeting presentations, annual reports, consumer research statistics, marketing strategies, business plans, and visual explanations of products and services to your customers With Cool Infographics, you'll learn to create infographics to successfully reach your target audience and tell clear stories with your data.