Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.

    The R language is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply many statistical techniques that would be impossible without such software to help implement such large data sets.

    KEY TOPICS: Topics explored include wireless and wireline telecommunications systems, basic data communications networks and systems, local area networks, internetworks, and the Internet including TCP/IP protocol suite. MARKET: For professionals with a career or interest in electronic communications, data communications, and/or networking, as well as ECT, EET, and CET technologists.

    The book will teach you about:* Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data* Deep learning, a powerful set of techniques for learning in neural networksNeural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning.

    Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problemsEach chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer supportThe authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data miningMore advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data miningCovers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis

    The data big bang has unleashed torrents of terabytes about everything from customer behaviors to weather patterns to demographic consumer shifts in emerging markets. This collection of articles, videos, interviews, and slideshares highlights the most important lessons for companies looking to turn data into above-market growth: Using analytics to identify valuable business opportunities from the data to drive decisions and improve marketing return on investment (MROI) Turning those insights into well-designed products and offers that delight customers Delivering those products and offers effectively to the marketplace. The goldmine of data represents a pivot-point moment for marketing and sales leaders. Companies that inject big data and analytics into their operations show productivity rates and profitability that are 5 percent to 6 percent higher than those of their peers. That’s an advantage no company can afford to ignore.

    Jockers introduces readers to large-scale literary computing and the revolutionary potential of macroanalysis--a new approach to the study of the literary record designed for probing the digital-textual world as it exists today, in digital form and in large quantities. Using computational analysis to retrieve key words, phrases, and linguistic patterns across thousands of texts in digital libraries, researchers can draw conclusions based on quantifiable evidence regarding how literary trends are employed over time, across periods, within regions, or within demographic groups, as well as how cultural, historical, and societal linkages may bind individual authors, texts, and genres into an aggregate literary culture. Moving beyond the limitations of literary interpretation based on the "close-reading" of individual works, Jockers describes how this new method of studying large collections of digital material can help us to better understand and contextualize the individual works within those collections.

    This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance.Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include:Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practicesFinancial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regressionSpecial topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies

    Offering a comprehensive review of a wide array of technical and analytical concepts, Excel Reports and Dashboards helps Excel users go from reporting data with simple tables full of dull numbers, to presenting key information through the use of high-impact, meaningful reports and dashboards that will wow management both visually and substantively.Details how to analyze large amounts of data and report the results in a meaningful, eye-catching visualization Describes how to use different perspectives to achieve better visibility into data, as well as how to slice data into various views on the fly Shows how to automate redundant reporting and analyses Part technical manual, part analytical guidebook, Excel Dashboards and Reports is the latest addition to the Mr. Spreadsheet's Bookshelf series and is the leading resource for learning to create dashboard reports in an easy-to-use format that's both visually attractive and effective.

    Stay in the know, spot trends as they happen, and push your business to new limits. This e-book introduces Microsoft Power BI basics through a practical, scenario-based guided tour of the tool, showing you how to build analytical solutions using Power BI. Get an overview of Power BI, or dig deeper and follow along on your PC using the book's examples.

    Targets beginning to intermediate Excel users seeking real-world examples of how they can use Excel's powerful built-in functions Shows readers how to use Excel functions in formulas to help them decide between buying and leasing a car, calculate mortgage costs, compute grades, evaluate investment performance, figure college expenses, and more Gives explanations and examples of real-world situations Provides an abbreviated discussion of an additional 200 functions Excel commands nearly 90 percent of the market for spreadsheet applications; although this book is written for Excel 2003, the functions described are in earlier versions as well

    Many of today’s jobs require that you be familiar with Microsoft Excel. How can you become proficient at Excel when companies aren’t willing to teach you this valuable skill? This leaves many people trying to learn as they go and never quite feeling 100% comfortable with the program. What’s worse, most people haven’t even scratched the surface of Excel’s potential, even if they’ve been using it for years. If you feel this way, you’re not alone. Think about this for a second; what will your career look like in a year if you don’t take action today and improve your Excel skills? How about five years from now? Unless you take matters into your own hands things may not look much different. According to a recent Wall Street Journal article, people who show proficiency in Microsoft Excel and other common office applications earn, on average, 13% more than those who don’t. For most people this could mean tens of thousands of dollars over just a few years, and this doesn’t even factor in lost promotions and job offers. Can you afford to leave so much on the table as a result of maintaining the status quo? I’ve experienced this transformation in my career and can tell you first hand how it has helped me. When I was fresh out of college and working my first accounting job my manager asked me to complete a project that involved using VLOOKUPS. I enthusiastically obliged, walked back to my desk, and proceeded to panic. I tricked myself into thinking that I was an excel expert only because I knew a few formulas, my limited knowledge only scratched the surface. I turned to a college buddy for help; Google. I eventually managed to learn what I needed, after a lot of time and energy. I’ve climbed the ladder and worn many hats since then. I can’t say that the opportunities I’ve earned in my career are solely due to my increasing Excel proficiency. What I can definitely say is that Excel has earned me more opportunities to prove myself to management than waiting for opportunities to materialize on their own. That’s why I decided to write this book. My goal is to take you from Excel novice to master in the shortest time possible. I wrote my book specifically for the busy professional, in an easy to read manner that gets straight to the point and teaches the meat of Excel. I wrote this book for you. Don’t take my word for it: "I think the writing style is helpful for readers to engage. I like that as I read the book, I felt as if I was in front of someone who was actually teaching me. I also liked the fact that the book is written in a laid back manner. I mean Excel is difficult as it is, why would you want to make it worst by adding some weird terminology to the book? Its plain, simple and easy to follow." -Eliana Pereira, Accountant I have helped many people improve their careers through Excel and now it’s your turn. Here is what you get when you download my book: -18 chapters of the most useful Excel techniques that will immediately take your skills to the next level -Practical use cases plus downloadable workbooks so that you can take what you learn and feel, first hand, how to apply those skills to real world scenarios -A FREE copy of my latest book on Google Sheets so you can stay ahead of the curve You’re at the point of decision.

    Readers profit from its verbal-conceptual exposition and frequent use of examples.The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 .Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.

    You’ll learn how to apply MongoDB design patterns to several challenging domains, such as ecommerce, content management, and online gaming. Using Python and JavaScript code examples, you’ll discover how MongoDB lets you scale your data model while simplifying the development process.Many businesses launch NoSQL databases without understanding the techniques for using their features most effectively. This book demonstrates the benefits of document embedding, polymorphic schemas, and other MongoDB patterns for tackling specific big data use cases, including:Operational intelligence: Perform real-time analytics of business dataEcommerce: Use MongoDB as a product catalog master or inventory management systemContent management: Learn methods for storing content nodes, binary assets, and discussionsOnline advertising networks: Apply techniques for frequency capping ad impressions, and keyword targeting and biddingSocial networking: Learn how to store a complex social graph, modeled after Google+Online gaming: Provide concurrent access to character and world data for a multiplayer role-playing game

    In this book we analyze solutions to more than 200 real interview problems and provide valuable insights into how to ace quantitative interviews. The book covers a variety of topics that you are likely to encounter in quantitative interviews: brain teasers, calculus, linear algebra, probability, stochastic processes and stochastic calculus, finance and programming.