Introduction to Information Retrieval PDF Download
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Author: Christopher D. Manning
Publisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :
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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 :
Get Book Here
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: Christoph Molnar
Publisher: Lulu.com
ISBN: 0244768528
Category : Computers
Languages : en
Pages : 320
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Book Description
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Author: Jeroen Janssens
Publisher: "O'Reilly Media, Inc."
ISBN: 1492087866
Category : Computers
Languages : en
Pages : 270
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Book Description
This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools--useful whether you work with Windows, macOS, or Linux. You'll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you're comfortable processing data with Python or R, you'll learn how to greatly improve your data science workflow by leveraging the command line's power. This book is ideal for data scientists, analysts, engineers, system administrators, and researchers. Obtain data from websites, APIs, databases, and spreadsheets Perform scrub operations on text, CSV, HTML, XML, and JSON files Explore data, compute descriptive statistics, and create visualizations Manage your data science workflow Create your own tools from one-liners and existing Python or R code Parallelize and distribute data-intensive pipelines Model data with dimensionality reduction, regression, and classification algorithms Leverage the command line from Python, Jupyter, R, RStudio, and Apache Spark
Author: Majed Marji
Publisher: No Starch Press
ISBN: 159327775X
Category : Computers
Languages : en
Pages : 344
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Book Description
Small Basic is a free, beginner-friendly programming language created by Microsoft. Inspired by BASIC, which introduced programming to millions of first-time PC owners in the 1970s and 1980s, Small Basic is a modern language that makes coding simple and fun. Learn to Program with Small Basic introduces you to the empowering world of programming. You’ll master the basics with simple activities like displaying messages and drawing colorful pictures, and then work your way up to programming games! Learn how to: –Program your computer to greet you by name –Make a game of rock-paper-scissors using If/Else statements –Create an interactive treasure map using arrays –Draw intricate geometric patterns with just a few lines of code –Simplify complex programs by breaking them into bite-sized subroutines You’ll also learn to command a turtle to draw shapes, create magical moving text, solve math problems quickly, help a knight slay a dragon, and more! Each chapter ends with creative coding challenges so you can take your skills to the next level. Learn to Program with Small Basic is the perfect place to start your computer science journey.
Author: Sally A. Fincher
Publisher:
ISBN: 1108756212
Category : Computers
Languages : en
Pages : 924
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Book Description
This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry.
Author: Jennifer L. Holm
Publisher: Random House Books for Young Readers
ISBN: 0553510398
Category : Juvenile Fiction
Languages : en
Pages : 210
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Book Description
Winner of the Scott O'Dell Award Five Starred Reviews! A New York Public Library Best Book for Kids, 2016 Grown-ups lie. That’s one truth Beans knows for sure. He and his gang know how to spot a whopper a mile away, because they are the savviest bunch of barefoot conchs (that means “locals”) in all of Key West. Not that Beans really minds; it’s 1934, the middle of the Great Depression. With no jobs on the island, and no money anywhere, who can really blame the grown-ups for telling a few tales? Besides, Beans isn’t anyone’s fool. In fact, he has plans. Big plans. And the consequences might surprise even Beans himself. Return to the wonderful world of Newbery Honor Book Turtle in Paradise through the eyes of Turtle’s cousin Beans! "A surprising coming-of-age story with a remarkably honest message." —The New York Times "[Holm] captures this colorful slice of Depression history with her usual vivacious wit. . . . Children will love Beans." —Shelf Awareness, Starred "A novel as entertaining as the motion pictures [Beans] loves to see."—The Horn Book Magazine, Starred “Inspired by actual events, Holm’s talent for writing historical fiction is on full display. . . . Interesting family and small-town dynamics further enrich this fascinating account of a young boy’s life in Florida’s ‘Recovery Key.’” —Booklist, Starred "Filled with humor, heart, and warmth." —Kirkus Review, Starred "Entertaining and illuminating historical fiction." —Publishers Weekly, Starred
Author: Dipanjan Sarkar
Publisher: Apress
ISBN: 1484223888
Category : Computers
Languages : en
Pages : 397
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Book Description
Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data
Author: Jamie Oliver
Publisher: Flatiron Books
ISBN: 1250787580
Category : Cooking
Languages : en
Pages : 583
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Book Description
7 Ways to reinvent your favorite ingredients with more than 120 new, exciting and tasty recipes Naked Chef television personality Jamie Oliver has looked at the top ingredients we buy week in, week out. We’re talking about those meal staples we pick up without thinking – chicken breasts, salmon fillets, ground beef, eggs, potatoes, broccoli, mushrooms, to name but a few. We’re all busy, but that shouldn’t stop us from having a tasty, nutritious meal after a long day at work or looking after the kids. So, rather than trying to change what we buy, Jamie wants to give everyone new inspiration for their favorite supermarket ingredients. Jamie will share 7 achievable, exciting and tasty ways to cook 18 of our favorite ingredients, and each recipe will include no more than 8 ingredients. Across the book, at least 70% of the recipes will be everyday options from both an ease and nutritional point of view, meaning you’re covered for every day of the week. With everything from fakeaways and traybakes to family and freezer favorites, you’ll find bags of inspiration to help you mix things up in the kitchen. Step up, 7 Ways, the most reader-focused cookbook Jamie has ever written.
Author: John Hunt
Publisher: Springer Nature
ISBN: 3031403363
Category : Computers
Languages : en
Pages : 638
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Book Description
Advanced Guide to Python 3 Programming 2nd Edition delves deeply into a host of subjects that you need to understand if you are to develop sophisticated real-world programs. Each topic is preceded by an introduction followed by more advanced topics, along with numerous examples, that take you to an advanced level. This second edition has been significantly updated with two new sections on advanced Python language concepts and data analytics and machine learning. The GUI chapters have been rewritten to use the Tkinter UI library and a chapter on performance monitoring and profiling has been added. In total there are 18 new chapters, and all remaining chapters have been updated for the latest version of Python as well as for any of the libraries they use. There are eleven sections within the book covering Python Language Concepts, Computer Graphics (including GUIs), Games, Testing, File Input and Output, Databases Access, Logging, Concurrency and Parallelism, Reactive Programming, Networking and Data Analytics. Each section is self-contained and can either be read on its own or as part of the book as a whole. It is aimed at those who have learnt the basics of the Python 3 language but wish to delve deeper into Python’s eco system of additional libraries and modules.
Author: Guido Van Rossum
Publisher:
ISBN: 9781312571655
Category :
Languages : en
Pages : 0
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Book Description
