This book provides an applications-oriented introduction to multivariate data analysis for the non-statistician, by focusing on the fundamental concepts that affect the use of specific techniques.

     #BreakIntoVC: How to Break Into Venture Capital And Think Like an Investor gives you the insight to understand technology investing without endlessly scouring the internet or having access to the top venture firms in the industry.What if a few new habits could help you understand the complex and ever-changing landscape of the technology sector? What if you could tell a great business from a good business with a few simple steps? Imagine being one of the smartest people in the room when it comes to transportation technology, drones or healthcare technology. Bradley Miles, in his first book, covers multiple ways to analyze and understand the complex and opaque world of technology investing.Here are a few things that you will get out of #BreakIntoVC.In this book, you will learn: The fundamentals of the venture capital industry and how it works The difference between accelerators, angel investors, early stage VCs and late stage VCs How to understand any market The key metrics that matter to VCs How to value early and late stage technology companies How to reach venture capitalists How to land a job, internship or learning-based opportunity at a venture capital firm How to handle a mock call with a venture capitalist How to spot great technology businesses in your everyday life How to pitch a business to venture capitalists Case studies on how five other people broke into the venture capital BONUS: A step-by-step method to pitching a company that Bradley has utilized when speaking with venture capital investors and current businesses that he recommends you use when setting up your first pitch. Buy this book NOW to learn everything you need to know to access the world of venture capital. Pick up your copy today by clicking the BUY NOW button at the top of this page. To get access to the bonus materials other resources (all for FREE) be sure to visit breakintovc.com

    Our inaugural effort is OpenIntro Statistics. Probability is optional, inference is key, and we feature real data whenever possible. Files for the entire book are freely available at openintro.org, and anybody can purchase a paperback copy from amazon.com for under $10.The future for OpenIntro depends on the involvement and enthusiasm of our community. Visit our website, openintro.org. We provide free course management tools, including an online question bank, utilities for creating course quizzes, and many other helpful resources.CERTAIN CONTENT THAT APPEARS ON THIS SITE COMES FROM AMAZON SERVICES LLC. THIS CONTENT IS PROVIDED ‘AS IS’ AND IS SUBJECT TO CHANGE OR REMOVAL AT ANY TIME.Can’t find it here? Search Amazon.com Search: All Products Apparel & AccessoriesBabyBeautyBooksCamera & PhotoCell Phones & ServiceClassical MusicComputersComputer & Video GamesDVDElectronicsGourmet FoodHome & GardenMiscellaneousHealth & Personal CareJewelry & WatchesKitchen & HousewaresMagazine SubscriptionsMusicMusical InstrumentsSoftwareSports & OutdoorsTools & HardwareToys & GamesVHS Keywords:

    But as risk expert Gerd Gigerenzer shows, the surprising truth is that in the real world, we often get better results by using simple rules and considering less information. In Risk Savvy, Gigerenzer reveals that most of us, including doctors, lawyers, financial advisers, and elected officials, misunderstand statistics much more often than we think, leaving us not only misinformed, but vulnerable to exploitation. Yet there is hope. Anyone can learn to make better decisions for their health, finances, family, and business without needing to consult an expert or a super computer, and Gigerenzer shows us how.Risk Savvy is an insightful and easy-to-understand remedy to our collective information overload and an essential guide to making smart, confident decisions in the face of uncertainty.

    Python is a beautiful computer language. It is simple, and it is intuitive. Python is used by a sorts of people – data scientists use it for much of their number crunching and analytics; security testers use it for testing out security and IT attacks; it is used to develop high-quality web applications and many of the large applications that you use on the internet are also written in Python, including YouTube, DropBox, and Instagram. Are you interested in learning Python? Then settle in and learn the basics in just 7 days - enough for you to be comfortable in moving on to the next level without any trouble.Are you interested in learning Python? Then settle in and learn the basics in just 7 days - enough for you to be comfortable in moving on to the next level without any trouble. In this book you'll learn: Setting Up Your Environment Let’s Get Programming Variables and Programs in Files Loops, Loops and More Loops Functions Dictionaries, Lists, and Tuples The “for” Loop Classes Modules File Input/Output Error Handling and much more! Now it's time for you to start your journey into Python programming! Click on the Buy Now button above and get started today!

    This book draws on material Michael created for his renowned Object Mentor seminars, techniques Michael has used in mentoring to help hundreds of developers, technical managers, and testers bring their legacy systems under control. The topics covered include: Understanding the mechanics of software change, adding features, fixing bugs, improving design, optimizing performance Getting legacy code into a test harness Writing tests that protect you against introducing new problems Techniques that can be used with any language or platform, with examples in Java, C++, C, and C# Accurately identifying where code changes need to be made Coping with legacy systems that aren't object-oriented Handling applications that don't seem to have any structureThis book also includes a catalog of twenty-four dependency-breaking techniques that help you work with program elements in isolation and make safer changes.

    Its practical, clinical perspective and user-friendly writing style engage the reader in a learning process that both informs and enlightens. Clinical chapters progress consistently and logically from theory to application. Specific psychobiological disorders are organized from moderate to severe along the mental health continuum. The nursing process is the strong, visible framework throughout.User-friendly writing style and a full-color design make psychiatric nursing content come alive! Case studies and personal stories show a compassion and understanding unique among psychiatric nursing texts. Special features are easily located and identified.Nursing process framework provides a strong underpinning for all clinical chapters. A sixth step, Outcome Criteria, identifies specific patient outcomes, then justifies the subsequent nursing interventions based on results.Assessment Guidelines boxes provide summary points for client assessment.Spiritual assessment is found in Assessment Strategies and the Nursing Process and Care for the Dying and for Those Who Grieve.Biologic Basis for Understanding Psychotropic Drugs lays the foundation for the study of psychotropic drug therapy to treat psychobiologic disorders.Care for the Dying and for Those Who Grieve chapter provides holistic nursing interventions related to end-of-life care for clients and families.Case Studies and Nursing Care Plans present individualized histories of clients with specific psychiatric disorders, and include interventions with rationales and evaluation statements for each client goal.Vignettes offer brief, descriptive characterizations of clients with specific psychiatric disorders.A Nurse Speaks spotlights individual psychiatric nurses and their personal stories.Key Terms and Concepts with page number references allow for quick review.Critical Thinking and Chapter Review sections offer scenario-based critical thinking problems and NCLEX-style multiple-choice questions, allowing students to test themselves on the chapter content.Nurse, Client, and Family Resources lists are provided on the book's Evolve website.A dynamic author team offers a breadth of experience in nursing education and practice.Tear-out Comprehensive Psychiatric Assessment Card is a valuable tool for students to use in clinicals.Completely revised Culturally Relevant Mental Health Nursing: A Global Perspective provides basic information on culture, worldviews, and what is necessary for culturally competent care.Psychiatric Forensic Nursing discusses this new and expanding specialty involving nursing, forensics, and the criminal justice system.Forensic Highlights boxes focus on the nurse's role in dealing with sexual assault, family violence, and incarcerated persons.Evidence-Based Practice boxes demonstrate how research findings affect psychiatric nursing practice and standards of care.Integrative Therapy boxes discuss the increasing popularity and significance of complementary and alternative therapies.Culturally Speaking boxes reinforce the importance of culturally competent care.A Client Speaks and A Family Speaks bring to life disorders and their effects on clients, their families, and those who care for them.Back by popular demand: communication tables in The Clinical Interview and Communication Skills.Key Points to Remember appear at the end of each chapter to reinforce essential information.

    Five actual journal articles are reproduced in the appendix as examples of the different research designs.

    However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art?Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniquesTopics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory Suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book Supplies supplementary course material for students at the associated website, http: //szeliski.org/Book/ Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

    Providing a concise introduction to abstract algebra, this work unfolds some of the fundamental systems with the aim of reaching applicable, significant results.

    Like its predecessors, the seventh edition includes the absolute minimum of mathematical/statistical notation necessary to teach the material. Concepts are fully explained in simple, easy-to-understand language as they are presented, making the book an excellent source from which to learn and teach. After each discussion, readers are guided through real-world examples to show how book principles work in professional practice. Includes easy-to-understand explanations of difficult statistical topics, such as sampling distributions, relationship between confidence level and confidence interval, interpreting r-square. A complete package of teaching/learning aids is provided in every chapter, including chapter review exercises, chapter concepts tests,"Statistics at Work" conceptual cases, "Computer Database Exercises," "From the Textbook to the Real-World Examples." This ISBN is in two volumes Part A and Part B.

    The Fourth Edition of volumes 1 and 2 is concerned with mechanics and E&M/Optics. New features include: expanded coverage of classic physics topics, substantial increases in the number of in-text examples which reinforce text exposition, the latest pedagogical and technical advances in the field, numerical analysis, computer-generated graphics, computer projects and much more.

    But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.