He includes information on Java Platform Standard Edition 6 (Java SE 6) and offers complete coverage of the Java language, its syntax, keywords, and fundamental programming principles.

    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.

    Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

    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.

    While this advice may work for everyday life, it is, as Kim Scott has seen, a disaster when adopted by managers.Scott earned her stripes as a highly successful manager at Google and then decamped to Apple, where she developed a class on optimal management. She has earned growing fame in recent years with her vital new approach to effective management, the “radical candor” method.Radical candor is the sweet spot between managers who are obnoxiously aggressive on one side and ruinously empathetic on the other. It’s about providing guidance, which involves a mix of praise as well as criticism—delivered to produce better results and help employees achieve.Great bosses have strong relationships with their employees, and Scott has identified three simple principles for building better relationships with your employees: make it personal, get (sh)it done, and understand why it matters.Radical Candor offers a guide to those bewildered or exhausted by management, written for bosses and those who manage bosses. Taken from years of the author’s experience, and distilled clearly giving actionable lessons to the reader; it shows managers how to be successful while retaining their humanity, finding meaning in their job, and creating an environment where people both love their work and their colleagues.

    Your product or service works beautifully - but something is missing. People just don’t see the big idea - and it’s keeping you from being successful. Your idea has an explanation problem.The Art of Explanation is for business people, educators and influencers who want to improve their explanation skills and start solving explanation problems.Author Lee LeFever is the founder of Common Craft, a company known around the world for making complex ideas easy to understand through short animated videos. He is your guide to helping audiences fall in love with your ideas, products or services through better explanations in any medium. You will learn to:• Plan: Learn explanation basics, what causes them to fail and how to diagnose explanation problems.• Package: Using simple elements, create an explanation strategy that builds confidence and motivates your audience. • Present: Produce remarkable explanations with visuals and media. The Art of Explanation is your invitation to become an explanation specialist and see why explanation is now a fundamental skill for professionals.

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    This new edition of the best-selling PMP: Project Management Professional Study Guide covers the 2005 updates to both the Project Management Body of Knowledge (PMBOK) and the PMP exam. Author Kim Heldman presents the material in a clear and accessible manner, taking you through the process groups in their logical order so you understand the parts and the whole equally well.KEY TOPICS INCLUDE:Project Initiation. Determining project goals, determining deliverables, determining process outputs, documenting constraints, documenting assumptions, defining strategies, producing formal documentation.Project Planning. Refining a project, creating a WBS, developing a resource management plan, determining resource requirements, defining budgets, refining time and costs estimates, establishing project controls, obtaining plan approval.Project Execution. Committing and implementing resources, managing and communicating progress, implementing quality assurance procedures.Project Control. Measuring performance, refining control links, taking corrective action, evaluating effectiveness of corrective action, ensuring plan compliance, reassessing control plans, responding to risk event triggers, monitor project activity.Project Closing. Obtaining acceptance of deliverables, documenting lessons learned, facilitating closure, preserving product records and tools, releasing resources.Professional Responsibility. Ensuring integrity, contributing to knowledge base, balancing stakeholder interests, respecting differences.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    The widespread adoption of agile methods has brought the need for effective testing into the limelight, and agile projects have transformed the role of testers. Much of a tester's function, however, remains largely misunderstood. What is the true role of a tester? Do agile teams actually need members with QA backgrounds? What does it really mean to be an "agile tester?"Two of the industry's most experienced agile testing practitioners and consultants, Lisa Crispin and Janet Gregory, have teamed up to bring you the definitive answers to these questions and many others. In Agile Testing, Crispin and Gregory define agile testing and illustrate the tester's role with examples from real agile teams. They teach you how to use the agile testing quadrants to identify what testing is needed, who should do it, and what tools might help. The book chronicles an agile software development iteration from the viewpoint of a tester and explains the seven key success factors of agile testing.Readers will come away from this book understanding- How to get testers engaged in agile development- Where testers and QA managers fit on an agile team- What to look for when hiring an agile tester- How to transition from a traditional cycle to agile development- How to complete testing activities in short iterations- How to use tests to successfully guide development- How to overcome barriers to test automationThis book is a must for agile testers, agile teams, their managers, and their customers.

    A pocket-sized overview of roles, artifacts and the sprint cycle, adapted from the bestseller The Elements of Scrum by Chris Sims & Hillary Louise Johnson

    But creating an environment for creative thinking and innovation can be a daunting challenge. How can you make it happen at your company? The answer may surprise you: gamestorming.This book includes more than 80 games to help you break down barriers, communicate better, and generate new ideas, insights, and strategies. The authors have identified tools and techniques from some of the world's most innovative professionals, whose teams collaborate and make great things happen. This book is the result: a unique collection of games that encourage engagement and creativity while bringing more structure and clarity to the workplace. Find out why -- and how -- with Gamestorming.Overcome conflict and increase engagement with team-oriented gamesImprove collaboration and communication in cross-disciplinary teams with visual-thinking techniquesImprove understanding by role-playing customer and user experiencesGenerate better ideas and more of them, faster than ever beforeShorten meetings and make them more productiveSimulate and explore complex systems, interactions, and dynamicsIdentify a problem's root cause, and find the paths that point toward a solution

    Dread no longer: Read This Before Our Next Meeting not only explains what’s wrong with “the meeting,” and meeting culture, but suggests how to make meetings more effective, efficient, and worthy of attending. It assesses when it’s necessary to skip the meeting and get right to work. Al Pittampalli shares examples of transforming workplaces by revamping the purpose of the meeting and a company's meeting culture. This book belongs on the shelf of any employee, employer and company looking to revolutionize what it means to do "work" all day and how to do it. Simply put: Stop wasting time. Read This Before Our Next Meeting is the call to action you (or your boss) needs to create the company that does the meaningful work it was created to do.

    This time, he turns his keen intellect and storytelling power to the fascinating, complex world of teams. Kathryn Petersen, Decision Tech's CEO, faces the ultimate leadership crisis: Uniting a team in such disarray that it threatens to bring down the entire company. Will she succeed? Will she be fired? Will the company fail? Lencioni's utterly gripping tale serves as a timeless reminder that leadership requires as much courage as it does insight. Throughout the story, Lencioni reveals the five dysfunctions which go to the very heart of why teams even the best ones-often struggle. He outlines a powerful model and actionable steps that can be used to overcome these common hurdles and build a cohesive, effective team. Just as with his other books, Lencioni has written a compelling fable with a powerful yet deceptively simple message for all those who strive to be exceptional team leaders.

    Here's how to handle them.If you read nothing else on managing people, read these 10 articles (featuring “Leadership That Gets Results,” by Daniel Goleman). We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you maximize your employees' performance.HBR's 10 Must Reads on Managing People will inspire you to:• Tailor your management styles to fit your people• Motivate with more responsibility, not more money• Support first-time managers• Build trust by soliciting input• Teach smart people how to learn from failure• Build high-performing teams• Manage your bossThis collection of best-selling articles includes: featured article "Leadership That Gets Results" by Daniel Goleman, "One More Time: How Do You Motivate Employees?" "The Set-Up-to-Fail Syndrome," "Saving Your Rookie Managers from Themselves," "What Great Managers Do," "Fair Process: Managing in the Knowledge Economy," "Teaching Smart People How to Learn," "How (Un)ethical Are You?" "The Discipline of Teams," and "Managing Your Boss."