Weinberg shows you exactly how to become a more effective consultant. He reveals specific techniques and strategies that really work.Through the use of vividly memorable rules, laws, and principles -- such as The Law of Raspberry Jam, The Potato Chip Principle, and Lessons from the Farm -- the author shows you how to-- price and market your services-- avoid traps and find alternative approaches-- keep ahead of your clients-- create a special "consultant's survival kit"-- trade improvement for perfection-- negotiate in difficult situations-- measure your effectiveness-- be yourselfYou will also find straightforward advice on marketing your services, including how to-- find clients-- get needed exposure-- set just-right fees-- gain trustThe Secrets of Consulting -- techniques, strategies, and first-hand experiences -- all that you'll need to set up, run, and be successful at your own consulting business.

    Just set aside one hour a day—lunchtime would be perfect—for a month, and you'll be automating Windows tasks faster than you ever thought possible. You'll start with the basics—what is PowerShell and what can you do with it. Then, you'll move systematically through the techniques and features you'll use to make your job easier and your day shorter. This totally revised second edition covers new PowerShell 3 features designed for Windows 8 and Windows Server 2012.Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.What's InsideLearn PowerShell from the beginning—no experience required! Covers PowerShell 3, Windows 8, and Windows Server 2012 Each lesson should take you one hour or lessAbout the TechnologyPowerShell is both a language and an administrative shell with which you can control and automate nearly every aspect of Windows. It accepts and executes commands immediately, and you can write scripts to manage most Windows servers like Exchange, IIS, and SharePoint.Experience with Windows administration is helpful. No programming experience is assumed.Table of ContentsBefore you begin Meet PowerShell Using the help system Running commands Working with providers The pipeline: connecting commands Adding commands Objects: data by another name The pipeline, deeper Formatting—and why it's done on the right Filtering and comparisons A practical interlude Remote control: one to one, and one to many Using Windows Management Instrumentation Multitasking with background jobs Working with many objects, one at a time Security alert! Variables: a place to store your stuff Input and output Sessions: remote control with less work You call this scripting? Improving your parameterized script Advanced remoting configuration Using regular expressions to parse text files Additional random tips, tricks, and techniques Using someone else's script Never the end PowerShell cheat sheet

    Line drawings and more than 1,000 new color images illustrate concepts more clearly than ever. This book includes detailed information on diagnosis, treatment planning concepts, related problems or controversies, and current treatment procedures, including the role of orthodontics in comprehensive treatment of patients with multiple problems.A NEW full-color design includes a total of more than 1,400 clinical photographs and illustrations.Application of the soft tissue paradigm to modern orthodontic diagnosis and treatment planning.Critical evaluation of controversies in treatment approaches and treatment timing.NEW information on the use of cone beam CT for 3-dimensional evaluation of dental and facial dimensions and relationships, and 3-D superimpositions to evaluate treatment response.Problem-oriented treatment planning, with use of digital technology to develop a database that can feed through to the treatment plan.Updated content on biomechanics to help you plan efficient use of modern orthodontic appliance systems.NEW skeletal anchorage techniques using bone anchors and mini screws.Chapters on adult treatment featuring the sequencing of multidisciplinary treatment, the new approach to lingual orthodontics, and a discussion of surgical vs. orthodontic treatment options.Full-color design includes hundreds of clinical photographs and illustrations with brighter, more engaging text and more demonstrative figures.Diagnosis and treatment planning chapters are revised to consider new paradigms to teach students and orthodontists how to apply the results of current research to their practice and treatment plans.Current technologies and advances in contemporary treatment provide clinicians with ways to make treatment planning and execution more efficient.Updated content on biomechanics gives clinicians ways to plan appropriate orthodontic appliance systems through which mechanotherapy is delivered using principles of forces.Updated information on mechanical devices, such as transplants, transpositions, implants, and temporary anchorage using mini screws, provide an understanding on how these devices can affect orthodontic treatment and what is available on the market to improve treatment outcomes.Appliance chapters have been condensed to reflect only the most useful and contemporary materials.Chapters on treatment for adults have been rewritten to include new concepts in periodontics and new clinical cases with predictions and outcomes and discussion of surgical vs. orthodontic treatment options.Early treatment chapters have been consolidated and new research included in the reorganization of content to make it consistent with the best data available in the literature.Every section of the book begins with a section opener to outline the main concepts discussed in that section.

    However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice-freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You'll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you've mastered these techniques, you'll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes - Learning the Bayesian "state of mind" and its practical implications - Understanding how computers perform Bayesian inference - Using the PyMC Python library to program Bayesian analyses - Building and debugging models with PyMC - Testing your model's "goodness of fit" - Opening the "black box" of the Markov Chain Monte Carlo algorithm to see how and why it works - Leveraging the power of the "Law of Large Numbers" - Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning - Using loss functions to measure an estimate's weaknesses based on your goals and desired outcomes - Selecting appropriate priors and understanding how their influence changes with dataset size - Overcoming the "exploration versus exploitation" dilemma: deciding when "pretty good" is good enough - Using Bayesian inference to improve A/B testing - Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

     Coauthored by the designer of the Scala language, this authoritative book will teach you, one step at a time, the Scala language and the ideas behind it. The book is carefully crafted to help you learn. The first few chapters will give you enough of the basics that you can already start using Scala for simple tasks. The entire book is organized so that each new concept builds on concepts that came before - a series of steps that promises to help you master the Scala language and the important ideas about programming that Scala embodies. A comprehensive tutorial and reference for Scala, this book covers the entire language and important libraries.

    Working through the book you will develop an arsenal of techniques to help you unlock the meaning of definitions, theorems and proofs, solve problems, and write mathematics effectively. All the major methods of proof - direct method, cases, induction, contradiction and contrapositive - are featured. Concrete examples are used throughout, and you'll get plenty of practice on topics common to many courses such as divisors, Euclidean algorithms, modular arithmetic, equivalence relations, and injectivity and surjectivity of functions. The material has been tested by real students over many years so all the essentials are covered. With over 300 exercises to help you test your progress, you'll soon learn how to think like a mathematician.

    It explores comprehensive set of commands that will make it easy to build applications and get them up and running quickly. Making the move to C is easy and fast with this concise, on target book by noted C expert R.B. Patel. The book's extensive exercise and frequent language comparisons teach you C concepts quickly and introduces the power of C language based on Turbo-C standard. The book covers the latest language features including detailed discussions of Data Base Design & System S/W and installation S/W. This book is written for beginners as well as advanced programmers. ? Contents Introduction Data Type Loops and Decisions Development of Functions Arrays Structure and Unions Pointers File Processing Memory Management Graphics Errors and their Remedies System Software Design Database Design Installation Software Design

    It features a visual presentation, designed to encourage learning; revised exercises to ensure clarity, balance and relevance; and clear commentary on the difficult subject of critical multivariable calculus topics.

    It presents the fundamentals in a clear manner, using a visual approach and real life applications.

    With a unique method that goes beyond syntax and how-to manuals, this guide not only teaches you the language, it helps you understand how to be a great programmer. You'll learn key areas such as language basics, pointers and pointer arithmetic, and dynamic memory management. Advanced topics include multi-threading and network programming—topics typically covered on a college-level course.This book also features labs: in-depth projects intended to stretch your abilities, test your new skills, and build confidence. Head First C mimics the style of college-level C courses, making it ideal as an accessible textbook for students.We think your time is too valuable to waste struggling with new concepts. Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First C uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    A team of contemporary fiction scholars from both sides of the Atlantic has been assembled to provide a thorough and readable analysis of each of the novels in question. The books in the series will all follow the same structure:a biography of the novelist, including other works, influences, and, in some cases, an interview; a full-length study of the novel, drawing out the most important themes and ideas; a summary of how the novel was received upon publication; a summary of how the novel has performed since publication, including film or TV adaptations, literary prizes, etc.; a wide range of suggestions for further reading, including websites and discussion forums; and a list of questions for reading groups to discuss.

    This book leads the reader from simple graphs through planar graphs, Euler's formula, Platonic graphs, coloring, the genus of a graph, Euler walks, Hamilton walks, more. Includes exercises. 1976 edition.

    Algorithm design techniques are also stressed and basic algorithm analysis is covered. Most of the programs are written in Pascal.