Theoretical, yet applied. Statistics for Business and Economics, Eleventh Edition, gives you the best of both worlds. Using a rich array of applications from a variety of industries, McClave/Sincich/Benson clearly demonstrates how to use statistics effectively in a business environment.The book focuses on developing statistical thinking so the reader can better assess the credibility and value of inferences made from data. As consumers and future producers of statistical inferences, readers are introduced to a wide variety of data collection and analysis techniques to help them evaluate data and make informed business decisions. As with previous editions, this revision offers an abundance of applications with many new and updated exercises that draw on real business situations and recent economic events. The authors assume a background of basic algebra.

    Edited by the Sustainability Institute’s Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world, showing readers how to develop the systems-thinking skills that thought leaders across the globe consider critical for 21st-century life.Some of the biggest problems facing the world—war, hunger, poverty, and environmental degradation—are essentially system failures. They cannot be solved by fixing one piece in isolation from the others, because even seemingly minor details have enormous power to undermine the best efforts of too-narrow thinking.While readers will learn the conceptual tools and methods of systems thinking, the heart of the book is grander than methodology. Donella Meadows was known as much for nurturing positive outcomes as she was for delving into the science behind global dilemmas. She reminds readers to pay attention to what is important, not just what is quantifiable, to stay humble, and to stay a learner.In a world growing ever more complicated, crowded, and interdependent, Thinking in Systems helps readers avoid confusion and helplessness, the first step toward finding proactive and effective solutions.

    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.

    With vital performance and career lessons and ideas for how to apply them, it is a must-read for managers at every level.

    The Scrum Guide documents the Scrum framework and is maintained by Scrum’s creators, Ken Schwaber and Jeff Sutherland.

    In this new edition, Margaret Wheatley describes how the new science radically alters our understanding of the world and how it can teach us to live and work well together in these chaotic times. We live in a time of chaos, rich in potential for new possibilities. A new world is being born. We need new ideas, new ways of seeing, and new relationships to help us now. New science--the new discoveries in biology, chaos theory, and quantum physics that are changing our understanding of how the world works--offers this guidance. It describes a world where chaos is natural, where order exists for free. It displays the intricate webs of cooperation that connect us. It assures us that life seeks order, but uses messes to get there.This book will teach you how to move with greater certainty and easier grace into the new forms of organizations and communities that are taking shape. You'll learn that:- Relationships are what matters--even at the subatomic level - Life is a vast web of interconnections where cooperation and participation are required - Chaos and change are the only route to transformationIn this expanded edition, Wheatley provides examples of how non-linear networks and self-organizing systems are flourishing in the modern world. In the midst of turbulence, Wheatley shows, we create work and lives rich in meaning.

    This book will provide you with an advanced system for attacking any Logical Reasoning question that you may encounter on the LSAT. The concepts presented in the Logical Reasoning Bible are representative of the techniques covered in PowerScore's live courses and have been consistently proven effective for thousands of our students. The book features and explains a detailed methodology for attacking all aspects of Logic Reasoning problems, including recognizing question types, identifying common reasoning elements and determining their validity, the methods for efficiently and accurately making inferences, and techniques for quickly eliminating answer choices as you solve the questions.

    Establishing and maintaining processes that greatly reduce the chances of project failure is paramount to achieving the competitive edge your company seeks."The Handbook of Program Management" gives program managers at all levels the techniques to put such processes in place as well as consistently integrate new technology and new people into these processes, thus producing superior products and services. Dr. James Brown, an internationally recognized authority in program and project management, explains how to strike a crucial balance between operations and project implementations-the precise point where you must nurture repeatable success.Outlining the differences between the roles of program and project managers, Dr. Brown provides proven principles for establishing a successful program management culture that is supported by enthusiastic personnel and stakeholders. He shows you how to develop the attributes of an effective program manager, from having a vision and strategy for long-term improvement to assessing people and building relationships to analyzing a myriad of means for accomplishing program objectives. You'll see how to Readily adapt to changing business conditions and turn chaos into clarity Mentor and coach project managers in terms of stakeholder management Make strategic program process decisions that positively impact your culture Build strong teams on multiple levels Plan an effective program execution Manage risk in an environment of uncertaintyYou'll also learn the keys to proper portfolio management and how to capitalize on positive program outcomes. Nowhere else will you find such comprehensive, authoritative information on meeting the new standards of program management--Dr. Brown's "The Handbook of Project Management" is the definitive resource.

    Essentially, you make an initial guess, and then get more data to improve it. Bayes Theorem, or Bayes Rule, has a ton of real world applications, from estimating your risk of a heart attack to making recommendations on Netflix But It Isn't That Complicated This book is a short introduction to Bayes Theorem. It is only 15 pages long, and is intended to show you how Bayes Theorem works as quickly as possible. The examples are intentionally kept simple to focus solely on Bayes Theorem without requiring that the reader know complicated probability distributions. If you want to learn the basics of Bayes Theorem as quickly as possible, with some easy to duplicate examples, this is a good book for you.

    This work covers the project lifecycle, addressing every key issue participants face: politics, people, process, project management, and tools.

    It delivers a comprehensive insider's view of lean manufacturing. The author helps the reader to grasp the system as a whole and the factors that animate it by organizing the book around an image of a house of lean production.Highlights include: A comprehensive view of Toyota�s lean manufacturing system A look at the origins and underlying principles of lean Identifying the goals of lean production Practical problem solving for lean production Activities that support involvement - Kaizen circles, suggestion systems, and problem solvingThis second edition has been updated with expanded information on the Lean Improvement Process; Production Physics and Little's Law - the fundamental equation for both manufacturing and service industries (cycle time = work in process/throughput); Value Stream Thinking - combining processes required to bring the product or service to the customer; Hoshin Planning -- using the Planning and Execution Tree diagram and Problem Solving -- including the "Five Why" method and how to use it.Lean Production Simplified, Second Edition covers each of the components of lean within the context of the entire lean production system. The author's straightforward common sense approach makes this book an easily accessible on-the-floor resource for every operator.

    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

    This is a powerful collection of bestselling books that will help you love the work you do - even if you can't always do work that you love.

    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.

    During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.