Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    "Using Econometrics: A Practical Guide "provides readers with a practical introduction that combines single-equation linear regression analysis with real-world examples and exercises. This text also avoids complex matrix algebra and calculus, making it an ideal text for beginners. New problem sets and added support make "Using Econometrics" modern and easier to use.

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    The 17th Edition builds upon the tradition of leadership with three main goals: help the beginning student master the principles essential for understanding the economizing problem, specific economic issues, and the policy alternatives; help the student understand and apply the economic perspective and reason accurately and objectively about economic matters; and promote a lasting student interest in economics and the economy."

    It's romantic and exciting to think of leadership as all inspiration, decisive action, and rich rewards, but leading requires taking risks that can jeopardize your career and your personal life. It requires putting yourself on the line, disturbing the status quo, and surfacing hidden conflict. And when people resist and push back, there's a strong temptation to play it safe. Those who choose to lead plunge in, take the risks, and sometimes get burned. But it doesn't have to be that way say renowned leadership authorities Ronald Heifetz and Marty Linsky. In Leadership on the Line, they show how it's possible to make a difference without getting "taken out" or pushed aside. They present everyday tools that give equal weight to the dangerous work of leading change and the critical importance of personal survival. Through vivid stories from all walks of life, the authors present straightforward strategies for navigating the perilous straits of leadership. Whether parent or politician, CEO or community activist, this practical book shows how you can exercise leadership and survive and thrive to enjoy the fruits of your labor.

    Starting with a "macro" view of accounting information, the authors present real financial statements. They establish how a financial statement communicates the financing, investing, and operating activities of a business to users of accounting information. Kimmel, Weygandt and Kieso motivate students by grounding the discussion in the real world, showing them the relevance of the topics covered to their future.

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

    The physical sciences and engineering claim to be the basis of modern technology and therefore of modern life; the social sciences discuss big issues of governance, for example, democracy and taxation; the humanities claim that they revive your soul after it has been deadened by exposure to the physical and social sciences and to engineering. Where does the subject "games of strategy," often also called game theory, fit into this picture, and why should you study it? Dixit and Skeath's Games of Strategy offers a practical motivation much more individual and closer to your personal concerns than most other subjects. You play games of strategy all the time: with your parents, siblings, friends, enemies, even with your professors. You have probably acquired a lot of instinctive expertise, and we hope you will recognize in what follows some of the lessons you have already learned. This book's authors will build on this experience, systematize it, and develop it to the point where you will be able to improve your strategic skills and use them more methodically. Opportunities for such uses will appear throughout the rest of your life; you will go on playing such games with your employers, employees, spouses, children, and even strangers. Not that the subject lacks wider importance. Similar games are played in business, politics, diplomacy, wars--in fact, whenever people interact to strike mutually agreeable deals or to resolve conflicts. Being able to recognize such games will enrich your understanding of the world around you, and will make you a better participant in all its affairs.

    The general approach of this book to logic remains the same as in earlier editions. Following Aristotle, we regard logic from two different points of view: on the one hand, logic is an instrument or organon for appraising the correctness of reasoning; on the other hand, the principles and methods of logic used as organon are interesting and important topics to be themselves systematically investigated.

    Packed with over 2,400 full-color illustrations, this atlas guides you step-by-step through each region of the body, helping you master the details of anatomy.Key Features:Exquisite full-color illustrations with clear, thorough labeling and descriptive captionsEven more clinical correlations help students make the connection between anatomy and medicineCoverage of each region intuitively arranged to simplify learning: beginning with the skeletal framework, then adding muscles, organs, vasculature, and nerves, and concluding with topographic illustrations that put it all togetherOver 170 tables summarize key anatomic information for ease of study and reviewInnovative, user-friendly format in which each two-page spread is a self-contained guide to a topicSurface anatomy spreads now include regions and reference lines or planes in addition to landmarks and palpable structures to develop physical exam skillsMuscle Fact spreads ideal for memorization, reference, and review organize the essentials about muscles, including origin, insertion, innervation, and actionNew sectional anatomy spreads at the end of units build familiarity with 2D views of anatomic regionsAccess to WinkingSkull.com PLUS, with over 500 images from the book for labels-on and labels-off review and timed self-tests for exam preparationAtlas of Anatomy is the student's choice:Thieme is the best anatomy atlas by far, hands down. Clearer pictures, more pictures, more realistic pictures, structures broken up in ways that make sense and shown from every angle...includes clinical correlations and summary charts of innervations and actions. That's about all there is to it. Just buy it. Thank you Thieme!!! Ok, now back to studying...In my opinion this book surpasses them all. It's the artwork. The artist has found the perfect balance of detail and clarity. Some of these illustrations have to be seen to be believed.... The pearls of clinical information are very good and these add significance to the information and make it easier to remember. Easier to remember is key.

    The 16 project-based lessons show readers step-by-step the key techniques for working with InDesign CS6. Readers learn what they need to know to create engaging page layouts using InDesign CS6. This completely revised CS6 edition covers the new tools for adding PDF form fields, linking content, and creating alternative layouts for digital publishing. The companion CD includes all the lesson files that readers need to work along with the book. This thorough, self-paced guide to Adobe InDesign CS6 is ideal for beginning users who want to master the key features of this program. Readers who already have some experience with InDesign can improve their skills and learn InDesign's newest features. "The Classroom in a Book series is by far the best training material on the market. Everything you need to master the software is included: clear explanations of each lesson, step-by-step instructions, and the project files for the students." -Barbara Binder, Adobe Certified Instructor, Rocky Mountain Training Classroom in a Book(R), the best-selling series of hands-on software training workbooks, helps you learn the features of Adobe software quickly and easily. Classroom in a Book offers what no other book or training program does-an official training series from Adobe Systems Incorporated, developed with the support of Adobe product experts. All of Peachpit's eBooks contain the same content as the print edition. You will find a link in the last few pages of your eBook that directs you to the media files.Helpful tips:If you are able to search the book, search for "Where are the lesson files?"Go to the very last page of the book and scroll backwards.You will need a web-enabled device or computer in order to access the media files that accompany this ebook. Entering the URL supplied into a computer with web access will allow you to get to the files.Depending on your device, it is possible that your display settings will cut off part of the URL. To make sure this is not the case, try reducing your font size and turning your device to a landscape view. This should cause the full URL to appear.

    Assuming the reader has little prior knowledge of the subject its importance, the principles of the techniques used and their applications are all carefully laid out, with over 250 clearly presented two-colour illustrations. In addition to a number of informative changes to the text throughout the book, the final four chapters have been significantly updated and extended to reflect the striking advances made in recent years in the applications of gene cloning and DNA analysis in biotechnology: Extended chapter on agriculture including new material on glyphosate resistant plantsNew section on the uses of gene cloning and PCR in archaeologyCoverage of ethical concerns relating to pharming, gene therapy and GM crops Gene Cloning and DNA Analysis remains an essential introductory text to a wide range of biological sciences students; including genetics and genomics, molecular biology, biochemistry, immunology and applied biology. It is also a perfect introductory text for any professional needing to learn the basics of the subject. All libraries in universities where medical, life and biological sciences are studied and taught should have copies available on their shelves. View the Gene Cloning and DNA Analysis webpage at www.blackwellpublishing.com/genecloning

    But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.Topics include:Statistical inference, exploratory data analysis, and the data science processAlgorithmsSpam filters, Naive Bayes, and data wranglingLogistic regressionFinancial modelingRecommendation engines and causalityData visualizationSocial networks and data journalismData engineering, MapReduce, Pregel, and HadoopDoing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

    Don't worry, you're not alone. Heck, you might have already read a book or two on this exact topic - there are a few out there. So why would we write another one? Because rarely will you find a book that shows you the exact steps to accomplish a specific goal. And one that's enjoyable to read to boot! No fluff, no information you don't need just to fill up space. In Make Money as a Freelance Writer, Gina Horkey and Sally Miller give you the exact steps you need to start a freelance writing business from scratch. Nothing more, nothing less. Best of all, you'll discover how to land your first paying client - even if you're starting from zero. And by following the seven steps listed in this book, you can be earning $1,000 as a freelance writer in as little as 30 days. Not bad considering the price of the book, right? Completing the action steps listed in Make Money as a Freelance Writer will help you to: * Choose your top niche(s). * Acquire your first few samples. * Create your freelance writing portfolio. * Start sourcing writing work. * Send your first several pitches. * Land your first client. * And earn your first $1,000! Reading this book (and doing the work) will save you time, money and your sanity. Don't keep trying to figure this whole freelance writing thing out on your own. Or read everything on the internet covering the subject without taking action, because you're so confused and overwhelmed by the vast amount of information that exists. These seven steps haven't just worked for us. These steps have worked for thousands of other freelance writers in our community. So read the book, join the ranks and start earning as a freelance writer today. Are you ready to turn your writing hobby into some cold, hard cash? These steps can work if you're a stay-at-home mom looking to add a little extra income to your household budget. Or if you're a college student in need of a part-time job to pay the rent. Or maybe you dream of escaping your nine-to-five. You want financial freedom and a more meaningful life. These steps help you accomplish that too! Whatever your reasons, Make Money as a Freelance Writer shows you how to start a freelance writing business from nothing and earn your first $1,000 as quickly as possible. So what are you waiting for? Click the BUY NOW button at the top of this page and start taking specific actions to make your dream of getting paid to write a reality!

    Gelb identified seven aspects of Da Vinci's genius that contemporary readers can emulate and apply in their own lives. Now, in WORK LIKE DA VINCI, Gelb adapts these principles to the specific demands of the workplace, sharing the innovative solutions to contemporary corporate and career challenges that have kept him in constant demand as a top-tier speaker and consultant to Fortune 500 clients. In Gelb's expert perspective, Da Vinci's genius can be distilled into seven principles for the business listener: Ask the right questions (Curiosit�) Put your answers to work (Dimostrazione) Develop your business senses (Sensazione) Turn uncertainty into opportunity (Sfumato) Strike a profitable balance (Arte/Scienza) Integrate for success (Corporalit�) Make the break-through connection (Connessione) These principles will help you tackle such timeless business challenges as: leadership; innovation; teamwork; strategic planning; decision-making; managing change and uncertainty; giving powerful presentations; giving and receiving feedback; and more.