Some of the new features are: Innovative warm-up exercises that precede the grammar charts and introduce points to be taught Structure-based listening exercises ranging from casual speech to academic content Academic readings that highlight the targeted grammar structures Greatly expanded speaking practice with extensive pair, group and class work Corpus-informed syllabus that reflects the discourse patterns of spoken and written English Audio CDs and listening script in the back of the Student Book The program components include the Student Book (Full Edition and Volume A and Volume B), Workbook (Full Edition and Volume A and Volume B), Chartbook, Teacher's Guide, and Test Bank. Click on "Course-Specific Resources" on the left for more details.For an online workbook, see Understanding and Using English Grammar Interactive.

    It provides students who lack a strong science background the ideal balance of reliable nutrition information and practical consumer-oriented knowledge.

    I. is explored and explained in this best selling text. Assuming no prior knowledge, it covers topics like neural networks and robotics. This text explores the range of problems which have been and remain to be solved using A. I. tools and techniques. The second half of this text is an excellent reference.

    Intuition and computational abilities are stressed. Original material on DE and multiple integrals has been expanded.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    Each chapter contains integrated worked examples and chapter tests. This edition has the ancillary ATLAST computer exercise guide and new MATLAB and Maple guides.

    Throughout the book, the authors show how the study of learning helps solve practical problems, such as improving study skills, improving relationships, raising children, and effectively stopping smoking. This book is both solidly based in research and engaging for the student. To help ensure that students understand the materials, the authors strategically include multiple opportunities for review and self-testing within the text.

    

    Its full-colour illustration program includes many novel, visually effective features to help students learn.

    The complexity of nature's shapes differs in kind, not merely degree, from that of the shapes of ordinary geometry, the geometry of fractal shapes.Now that the field has expanded greatly with many active researchers, Mandelbrot presents the definitive overview of the origins of his ideas and their new applications. The Fractal Geometry of Nature is based on his highly acclaimed earlier work, but has much broader and deeper coverage and more extensive illustrations.

    This book is the most complete and up-to-date resource on Java from programming guru, Herb Schildt -- a must-have desk reference for every Java programmer.

    These themes include mathematical reasoning, combinatorial analysis, discrete structures, algorithmic thinking, and enhanced problem-solving skills through modeling. Its intent is to demonstrate the relevance and practicality of discrete mathematics to all students. The Fifth Edition includes a more thorough and linear presentation of logic, proof types and proof writing, and mathematical reasoning. This enhanced coverage will provide students with a solid understanding of the material as it relates to their immediate field of study and other relevant subjects. The inclusion of applications and examples to key topics has been significantly addressed to add clarity to every subject. True to the Fourth Edition, the text-specific web site supplements the subject matter in meaningful ways, offering additional material for students and instructors. Discrete math is an active subject with new discoveries made every year. The continual growth and updates to the web site reflect the active nature of the topics being discussed. The book is appropriate for a one- or two-term introductory discrete mathematics course to be taken by students in a wide variety of majors, including computer science, mathematics, and engineering. College Algebra is the only explicit prerequisite.

    This updated guide covers a wide array of fundamental subjects, including principles of flight, aircraft and engine structures, charts and graphs, performance calculations, weather theory, reports, forecasts, and flight manuals. Required reading for pilots for more than 25 years and formerly published as an Advisory Circular (AC 61-23C), this new edition is now listed as an official FAA Handbook.

    Book is unique in its emphasis on the frequency approach and its use in the solution of problems. Contents include: Fundamentals and Algorithms; Polynomial Approximation — Classical Theory; Fourier Approximation — Modern Theory; and Exponential Approximation.