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Author: Christopher D. Manning Publisher: Cambridge University Press ISBN: 1139472100 Category : Computers Languages : en Pages :
Book Description
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. 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. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Author: Christopher D. Manning Publisher: Cambridge University Press ISBN: 1139472100 Category : Computers Languages : en Pages :
Book Description
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. 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. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Author: Brady Smith Publisher: ISBN: Category : Editing Languages : en Pages : 187
Book Description
"In this eBook, you'll learn the principles of grammar and how to manipulate your words until they're just right. Strengthen your revising and editing skills and become a clear and consistent writer." --
Author: Barbara Illowsky Publisher: ISBN: Category : Mathematics Languages : en Pages : 2106
Book Description
Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Author: Marc Peter Deisenroth Publisher: Cambridge University Press ISBN: 1108569323 Category : Computers Languages : en Pages : 392
Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Author: Laura Hillenbrand Publisher: Random House Trade Paperbacks ISBN: 0812974492 Category : Biography & Autobiography Languages : en Pages : 530
Book Description
#1 NEW YORK TIMES BESTSELLER • NOW A MAJOR MOTION PICTURE • Look for special features inside. Join the Random House Reader’s Circle for author chats and more. In boyhood, Louis Zamperini was an incorrigible delinquent. As a teenager, he channeled his defiance into running, discovering a prodigious talent that had carried him to the Berlin Olympics. But when World War II began, the athlete became an airman, embarking on a journey that led to a doomed flight on a May afternoon in 1943. When his Army Air Forces bomber crashed into the Pacific Ocean, against all odds, Zamperini survived, adrift on a foundering life raft. Ahead of Zamperini lay thousands of miles of open ocean, leaping sharks, thirst and starvation, enemy aircraft, and, beyond, a trial even greater. Driven to the limits of endurance, Zamperini would answer desperation with ingenuity; suffering with hope, resolve, and humor; brutality with rebellion. His fate, whether triumph or tragedy, would be suspended on the fraying wire of his will. Appearing in paperback for the first time—with twenty arresting new photos and an extensive Q&A with the author—Unbroken is an unforgettable testament to the resilience of the human mind, body, and spirit, brought vividly to life by Seabiscuit author Laura Hillenbrand. Hailed as the top nonfiction book of the year by Time magazine • Winner of the Los Angeles Times Book Prize for biography and the Indies Choice Adult Nonfiction Book of the Year award “Extraordinarily moving . . . a powerfully drawn survival epic.”—The Wall Street Journal “[A] one-in-a-billion story . . . designed to wrench from self-respecting critics all the blurby adjectives we normally try to avoid: It is amazing, unforgettable, gripping, harrowing, chilling, and inspiring.”—New York “Staggering . . . mesmerizing . . . Hillenbrand’s writing is so ferociously cinematic, the events she describes so incredible, you don’t dare take your eyes off the page.”—People “A meticulous, soaring and beautifully written account of an extraordinary life.”—The Washington Post “Ambitious and powerful . . . a startling narrative and an inspirational book.”—The New York Times Book Review “Magnificent . . . incredible . . . [Hillenbrand] has crafted another masterful blend of sports, history and overcoming terrific odds; this is biography taken to the nth degree, a chronicle of a remarkable life lived through extraordinary times.”—The Dallas Morning News “An astonishing testament to the superhuman power of tenacity.”—Entertainment Weekly “A tale of triumph and redemption . . . astonishingly detailed.”—O: The Oprah Magazine “[A] masterfully told true story . . . nothing less than a marvel.”—Washingtonian “[Hillenbrand tells this] story with cool elegance but at a thrilling sprinter’s pace.”—Time “Hillenbrand [is] one of our best writers of narrative history. You don’t have to be a sports fan or a war-history buff to devour this book—you just have to love great storytelling.”—Rebecca Skloot, author of The Immortal Life of Henrietta Lacks
Author: Larry Wasserman Publisher: Springer Science & Business Media ISBN: 0387217363 Category : Mathematics Languages : en Pages : 446
Book Description
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Author: Julia Alvarez Publisher: Algonquin Books ISBN: 1616200995 Category : Fiction Languages : en Pages : 353
Book Description
Celebrating its 30th anniversary in 2024, internationally bestselling author and literary icon Julia Alvarez's In the Time of the Butterflies is "beautiful, heartbreaking and alive ... a lyrical work of historical fiction based on the story of the Mirabal sisters, revolutionary heroes who had opposed and fought against Trujillo." (Concepción de León, New York Times) Alvarez’s new novel, The Cemetery of Untold Stories, is coming April 2, 2024. Pre-order now! It is November 25, 1960, and three beautiful sisters have been found near their wrecked Jeep at the bottom of a 150-foot cliff on the north coast of the Dominican Republic. The official state newspaper reports their deaths as accidental. It does not mention that a fourth sister lives. Nor does it explain that the sisters were among the leading opponents of Gen. Rafael Leónidas Trujillo’s dictatorship. It doesn’t have to. Everybody knows of Las Mariposas—the Butterflies. In this extraordinary novel, the voices of all four sisters--Minerva, Patria, María Teresa, and the survivor, Dedé--speak across the decades to tell their own stories, from secret crushes to gunrunning, and to describe the everyday horrors of life under Trujillo’s rule. Through the art and magic of Julia Alvarez’s imagination, the martyred Butterflies live again in this novel of courage and love, and the human costs of political oppression. "Alvarez helped blaze the trail for Latina authors to break into the literary mainstream, with novels like In the Time of the Butterflies and How the García Girls Lost Their Accents winning praise from critics and gracing best-seller lists across the Americas."—Francisco Cantú, The New York Times Book Review "This Julia Alvarez classic is a must-read for anyone of Latinx descent." —Popsugar.com "A gorgeous and sensitive novel . . . A compelling story of courage, patriotism and familial devotion." —People "Shimmering . . . Valuable and necessary." —Los Angeles Times "A magnificent treasure for all cultures and all time.” —St. Petersburg Times "Alvarez does a remarkable job illustrating the ruinous effect the 30-year dictatorship had on the Dominican Republic and the very real human cost it entailed."—Cosmopolitan.com
Author: David M Lane Publisher: ISBN: 9781687894250 Category : Languages : en Pages : 406
Book Description
Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.This print edition of the public domain textbook gives the student an opportunity to own a physical copy to help enhance their educational experience. This part I features the book Front Matter, Chapters 1-10, and the full Glossary. Chapters Include:: I. Introduction, II. Graphing Distributions, III. Summarizing Distributions, IV. Describing Bivariate Data, V. Probability, VI. Research Design, VII. Normal Distributions, VIII. Advanced Graphs, IX. Sampling Distributions, and X. Estimation. Online Statistics Education: A Multimedia Course of Study (http: //onlinestatbook.com/). Project Leader: David M. Lane, Rice University.
Author: Christopher D. Manning
Author: Christopher D. Manning
Author: Brady Smith
Author: Barbara Illowsky
Author: Marc Peter Deisenroth
Author: Wild Pages Wild Pages Press
Author: Laura Hillenbrand
Author: Larry Wasserman
Author: Julia Alvarez
Author: Peter Pauper Press
Author: David M Lane