The nature of youth is to question. So when twenty-four-year-old Anya Kamenetz started out as a journalist, she began asking hard questions about her generation for which no one seemed to have good answers. Why were college students nationwide graduating with an average of more than $20,000 in student loans? Why were her friends thousands of dollars in credit-card debt? Why did so many jobs for people under thirty-five involve a plastic name badge, last only for the short-term, and not include benefits? With record deficits and threats to Social Security, what kind of future was shaping up for the nation's kids? Kamenetz became one of the youngest ever columnists for The Village Voice, where she earned a Pulitzer Prize nomination for her reporting on the new economics of being young. In Generation Debt, she talks to experts in economics, labor markets, the health-care industry, and education, and amasses a startling array of evidence that building a secure life, let alone surviving, is harder for young people today than it was thirty years ago. Like Barbara Ehrenreich's Nickel and Dimed, Generation Debt is a compelling day-to-day look at the life experiences behind a massive economic shift. Like Naomi Klein's No Logo, it is a deeply researched, rousing manifesto that will get you thinking in new ways about American values-and about America's future.

    A follow-up to The Google Resume, this book provides new information on what these companies want, and how to show them you have what it takes to succeed in the role. Early planners will learn what to study, and established professionals will discover how to make their skillset and experience set them apart from the crowd. Author Gayle Laakmann McDowell worked in engineering at Google, and interviewed over 120 candidates as a member of the hiring committee – in this book, she shares her perspectives on what works and what doesn't, what makes you desirable, and what gets your resume saved or deleted. Apple, Microsoft, and Google are the coveted companies in the current job market. They field hundreds of resumes every day, and have their pick of the cream of the crop when it comes to selecting new hires. If you think the right alma mater is all it takes, you need to update your thinking. Top companies, especially in the tech sector, are looking for more. This book is the complete guide to becoming the candidate they just cannot turn away. Discover the career paths that run through the top tech firms Learn how to craft the prefect resume and prepare for the interview Find ways to make yourself stand out from the hordes of other applicants Understand what the top companies are looking for, and how to demonstrate that you're it These companies need certain skillsets, but they also want a great culture fit. Grades aren't everything, experience matters, and a certain type of applicant tends to succeed. Cracking the Tech Career reveals what the hiring committee wants, and shows you how to get it.

    An approachable guide to programming in SQL (Structured Query Language) that will teach even beginning programmers how to build powerful databases and analyze data to find meaningful information.Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language) written by longtime professional journalist Anthony DeBarros. SQL is the primary tool that programmers, web developers, researchers, journalists, and others use to explore data in a database. DeBarros focuses on using SQL to find the story in data, with the aid of the popular open-source database PostgreSQL and the pgAdmin interface.This thoroughly revised second edition includes a new chapter describing how to set up PostgreSQL and more extensive discussion of pgAdmin's best features. The author has also added a chapter on the JSON data format that shows readers how to store and query JSON data. DeBarros has also updated the data in the book throughout, added coverage of additional topics, and perfected the book's examples.Readers love DeBarros's use of exercises and real-world examples that demonstrate how to:- Create databases and related tables using your own data - Correctly define data typesAggregate, sort, and filter data to find patterns - Clean their data and transfer data as text files - Create advanced queries and automate tasksThis book uses PostgreSQL, but the SQL syntax is applicable to many database applications, including Microsoft SQL Server and MySQL.

    It was a breakthrough guide in how to drive high quality and customer value, while maintaining a singular focus on agile delivery principles. Fast forward to 2013 and much has changed.Scrum and the other agile methods are dominating the mainstream and new success stories seem to be forthcoming daily. However, there are still challenges and many surround the Product Owner role: scaling Scrum, sustaining quality, delivering and measuring value, providing team leadership, being a part of organizational transformation, and simple survival are all still in play. In other words, the role is still just plain HARD. The Second Edition of Scrum Product Ownership is being delivered to help with today’s challenges. It has more practical advice, real-world tactics, and more stories. It provides a framework of ideas to help today's Product Owners and their teams to better “Deliver the Goods”. However, it remains true to its heritage of guiding you towards becoming a GREAT Product Owner…from the Inside Out.

    Your competition is smart, tech-savvy, and highly resourceful. Expectations among employers are higher. Your competition will run you over if you're not up to the challenge. Land the Tech Job You Love gives you the background, the skills, and the hard-won wisdom to bypass the mistakes of those who don't prepare. You might not think you need this book. Conventional Wisdom has it that finding a job is simple: send some resumes, go on some interviews, and take the offer that sounds best. But that's only the start. You've got the background and skills to work the Web and other resources that the general job seeker doesn't. This book shows you how to take advantage of those skills or be left behind by competing techies who do. It all starts with an examination of you, your strengths, and where you want your career to take you. Without a roadmap, you'll wind up in any old job. Life's too short to spend in a job that you don't love. From there, you'll see how to find the job you want that fits you and the employer, using your technical and web savvy to find the hidden jobs that never make it into the classifieds or Monster. "Marketing" is not a dirty word, and you'll learn how to present yourself, your skills, and your background in the way that shows the hiring company that you're the right person for the job. Create a resume that tosses out conventional wisdom, write cover letters that sell your background, and assemble a portfolio of work that will wow the interviewer. Social networking has been the darling of the Web in the past few years, but it's no substitute for the sort of personal interaction that makes relationships that help in future careers. As one manager said, "One recommendation is worth a million resumes." This book shows you how to make and maintain the connections that will drive your future career moves.Land the Tech Job You Love pulls no punches and lays out the details for what gets you an interview, and gets you hired in a job in the technical world that makes you happy.

    You'll discover key techniques to reach hiring managers at the employers you want to work for most. New chapters integrate using social media and social networking tools like Facebook, Twitter, LinkedIn, and ZoomInfo in your job search, along with case studies from successful guerrilla job hunters that detail what works in today's hyper competitive job market with commentary from America's top recruiters.Present your skills in creative new ways that stand out in today's hyper-competitive job market Employ little-known search engine optimization tricks used by top headhunters Integrated web site updated bi-weekly to remain state-of-the-moment Part of the Guerrilla Marketing Series, the bestselling marketing book series The job search process has changed drastically in the past few years. Turn these changes to your advantage and make your search successful with Guerilla Marketing for Job Hunters 3.0.

    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.

    You'll learn how to review financial statements, analyze earnings, detect fraud, assess stock prices, value companies, and structure mergers and acquisitions, among other exercises.

    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

    Intelligence rains in, but without an understanding of the nature of the intelligence, it accumulates in puddles of obscurity. The problems therefore seem to be how to obtain it, how to understand it, and how to sell it to one's bosses. This book deals with how to understand it. Three fundamental points are at the heart of this presentation about the cognitive challenges intelligence analysts face: The mind is poorly wired to deal effectively with both inherent uncertainty (the natural fog surrounding complex, indeterminate intelligence issues) and induced uncertainty (the man-made fog fabricated by denial and deception operations). Even increased awareness of cognitive and other unmotivated biases, such as the tendency to see information confirming an already-held judgement more vividly than one sees disconfirming information, does little by itself to help analysts deal effectively with uncertainty. critical thinking can substantially improve analysis on complex issues on which information is incomplete, ambiguous, and often deliberately distorted. Key examples of such intellectual devices include techniques for structuring information, challenging assumptions, and exploring alternative interpretations. This book was first issued by the CIA.

    Now updated for both current developments in OS 10.4 and 10.5, this comprehensive guide to developing Cocoa guides programmers through the key features of Cocoa, and takes them step by step through the creation of typical applications.

    You'd like to learn how to do more work with SQL inside the database before pushing data across the network to your applications. You'd like to take your SQL skills to the next level.Let's face it, SQL is a deceptively simple language to learn, and many database developers never go far beyond the simple statement: SELECT columns FROM table WHERE conditions. But there is so much more you can do with the language. In the SQL Cookbook, experienced SQL developer Anthony Molinaro shares his favorite SQL techniques and features. You'll learn about:Window functions, arguably the most significant enhancement to SQL in the past decade. If you're not using these, you're missing outPowerful, database-specific features such as SQL Server's PIVOT and UNPIVOT operators, Oracle's MODEL clause, and PostgreSQL's very useful GENERATE_SERIES functionPivoting rows into columns, reverse-pivoting columns into rows, using pivoting to facilitate inter-row calculations, and double-pivoting a result setBucketization, and why you should never use that term in Brooklyn.How to create histograms, summarize data into buckets, perform aggregations over a moving range of values, generate running-totals and subtotals, and other advanced, data warehousing techniquesThe technique of walking a string, which allows you to use SQL to parse through the characters, words, or delimited elements of a stringWritten in O'Reilly's popular Problem/Solution/Discussion style, the SQL Cookbook is sure to please. Anthony's credo is: When it comes down to it, we all go to work, we all have bills to pay, and we all want to go home at a reasonable time and enjoy what's still available of our days. The SQL Cookbook moves quickly from problem to solution, saving you time each step of the way.

    The innate desire is driven by our deep and underlying need to find better ways for us to achieve our own goals, understand our own dreams, and rise to our unique challenges. This book is about the underlying events in the life of Jeff Bezos and the ways in which it influenced his life, the way he responded to them, and in the way he used them to his advantage. The book doesn’t claim to know the fibers that made the content of his heart - no man can know that. But what it does is string together multiple events and sees the shadows that it casts. All that so that you can find the elements inside you that could be the seed of success, achievement and greatness. The story of Bezos traces a path through his life as a youth and looks at his action and his achievements and deciphers the existence of his greatest achievement – Amazon - in a way that is reflective of his character, his intellect and his upbringing. His story is unlike any of the other successful people in history. His brand of work ethic is familiar but different. What is it about him that makes him a super achiever? What about him makes him drive hard towards his goals? What about him can turn an idea into a startling success? What about him is like you and what isn’t? What can you learn from him? Read, and find out.

    The manner in which computers are now able to mimic human thinking is rapidly exceeding human capabilities in everything from chess to picking the winner of a song contest. In the age of machine learning, computers do not strictly need to receive an ‘input command’ to perform a task, but rather ‘input data’. From the input of data they are able to form their own decisions and take actions virtually as a human would. But as a machine, can consider many more scenarios and execute calculations to solve complex problems. This is the element that excites companies and budding machine learning engineers the most. The ability to solve complex problems never before attempted. This is also perhaps one reason why you are looking at purchasing this book, to gain a beginner's introduction to machine learning. This book provides a plain English introduction to the following topics: - Artificial Intelligence - Big Data - Downloading Free Datasets - Regression - Support Vector Machine Algorithms - Deep Learning/Neural Networks - Data Reduction - Clustering - Association Analysis - Decision Trees - Recommenders - Machine Learning Careers This book has recently been updated following feedback from readers. Version II now includes: - New Chapter: Decision Trees - Cleanup of minor errors

    Whether it's improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. This is especially true in the online world, where predicting customer behavior is virtually impossible.Managers can, however, discover whether a new product, service, or business model will fail or succeed--by subjecting it to rigorous experimentation. Think about it. A pharmaceutical company would never introduce a new drug without first conducting a round of experiments based on established scientific protocols. Yet that's essentially what many companies do when they roll out new products and services.As Harvard Business School professor Stefan Thomke shows in this eye-opening and essential book, the "best guess" approach to innovation is changing fast. There are now leading companies that conduct more than ten thousand online controlled experiments annually, engaging millions of users. These organizations have discovered that an "experiment with everything" approach has a big payoff, giving them a considerable competitive advantage.How can you do this at your company? Leaders and managers need to create an "experimentation organization" that masters the science of testing and puts the discipline of experimentation at the center of the innovation process. It used to take companies years to build the infrastructure and develop the expertise to run hundreds of experiments each day. But Thomke shows how, with advances in technology, these capabilities are at the fingertips of almost any business professional. By combining the power of software and the rigor of controlled experiments, today's managers can make better decisions, create better customer experiences, and generate huge financial returns.Filled with engaging and instructive stories of leading experimentation organizations, Experimentation Works will be your guidebook to a truly new way of thinking and innovating.