Python is easy to learn, and it's perfect for exploring topics like statistics, geometry, probability, and calculus. You’ll learn to write programs to find derivatives, solve equations graphically, manipulate algebraic expressions, even examine projectile motion.Rather than crank through tedious calculations by hand, you'll learn how to use Python functions and modules to handle the number crunching while you focus on the principles behind the math. Exercises throughout teach fundamental programming concepts, like using functions, handling user input, and reading and manipulating data. As you learn to think computationally, you'll discover new ways to explore and think about math, and gain valuable programming skills that you can use to continue your study of math and computer science.If you’re interested in math but have yet to dip into programming, you’ll find that Python makes it easy to go deeper into the subject—let Python handle the tedious work while you spend more time on the math.

    Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. "Machine Learning for Hackers" is ideal for programmers from any background, including business, government, and academic research.Develop a naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data

    This revision retains most of the text’s traditional features, including a middle-of-the-road approach and very current research, while updating and simplifying the exposition. This revision focuses on making the text even easier to teach from. The only pre-requisite continues to be principles of economics.

    This overview has enabled students to make sense more easily of what instructors are doing when they produce proofs, theorems and formulas.

    It introduces marketing from the perspective of real people making real marketing decisions at leading companies "every day. "Learners will come to understand that marketing is about "creating value"-for customers, for companies, and for society as a whole-and they will see how that is accomplished in the real world. A five-part organization covers making marketing value decisions, identifying markets and understanding customers' needs for value, creating the value proposition, communicating the value proposition, and delivering the value proposition. For individuals interested in a career in marketing.

    Key concepts are combined with detailed illustrations and step-by-step exercises to acquaint readers with the building blocks of ArcGIS® Desktop including ArcMap™, for displaying and querying maps, ArcCatalog™, for organizing geographic data, and ModelBuilder™, for diagramming and processing solutions to complex spatial analysis problems. Its broad scope, simple style, and practical orientation make this book an ideal classroom text and an excellent resource for those learning GIS on their own. A data CD for working through the exercises and a fully functioning 180-day trial ArcGIS® Desktop 10 software is included.

    An abundance of applications to current economic analysis, illustrative diagrams, thought-provoking exercises, careful proofs, and a flexible organization-these are the advantages that Mathematics for Economists brings to today’s classroom.

    Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike.

    Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions.Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more.Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.

    They'll also find the related analytic geometry much easier. The clear review of algebra and geometry in this edition will make calculus easier for students who wish to strengthen their knowledge in these areas. Updated to meet the emphasis in current courses, this new edition of a popular guide--more than 104,000 copies were bought of the prior edition--includes problems and examples using graphing calculators..

    Through the book’s many examples, you’ll quickly learn how OCaml stands out as a tool for writing fast, succinct, and readable systems code.Real World OCaml takes you through the concepts of the language at a brisk pace, and then helps you explore the tools and techniques that make OCaml an effective and practical tool. In the book’s third section, you’ll delve deep into the details of the compiler toolchain and OCaml’s simple and efficient runtime system.Learn the foundations of the language, such as higher-order functions, algebraic data types, and modulesExplore advanced features such as functors, first-class modules, and objectsLeverage Core, a comprehensive general-purpose standard library for OCamlDesign effective and reusable libraries, making the most of OCaml’s approach to abstraction and modularityTackle practical programming problems from command-line parsing to asynchronous network programmingExamine profiling and interactive debugging techniques with tools such as GNU gdb

    This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.

    Why are there wars? Why do countries have a hard time cooperating to prevent genocides or global environmental problems? Why are some countries rich while others are poor? Organized around the puzzles that draw scholars and students alike to the study of world politics, this book gives students the tools they need to think analytically about compelling questions like these.World Politics introduces a contemporary analytical framework based on interests, interactions, and institutions. Drawing extensively on recent research, the authors use this flexible framework throughout the text to get students thinking like political scientists as they explore the major topics in international relations. .

    The success of the first five editions of Global Business Today has been based in part upon the incorporation of leading edge research into the text, the use of the up-to-date examples and statistics to illustrate global trends and enterprise strategy, and the discussion of current events within the context of the appropriate theory. Our research has shown that students and instructors alike enjoy the interesting, informative, and accessible writing style of GBT - so much so that the writing has become Charles Hill's trademark. In addition to boxed material which provides deep illustrations in every chapter, Hill carefully weaves interesting anecdotes into the narrative of the text to engage the reader.

    On the heels of the most recent economic crisis, America is headed toward another: high inflation and dollar devaluation. Charles Goyette reveals the governmental errors that led to the current economic crisis and the bumpy road ahead. The signs are clear: Federal debt is compounding while growth has stalled, and America's foreign creditors are questioning the dollar's reserve currency status. Meanwhile, the "hidden" federal debt, much larger than the official debt, makes things even worse. So what can you do to safeguard your assets when the dollar heads south? This book is the essential guide for protecting yourself--and even profiting--in this time of financial turbulence. In clear detail, Goyette explains the alternative investments--from gold and silver to oil and agriculture-- that will remain strong in the face of mounting inflation. The Dollar Meltdown gives you the tools to maintain the value of your savings and captilize on the coming opportunities. Don't get left holding the bag after decades of government irresponsibility. The Dollar Meltdown shows you how to take the safety of your finances into your own hands.