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Tag: Introductory

  • Introductory Time Series with R (Use R!)


    Price: $59.99 – $37.65
    (as of Jan 22,2025 14:43:14 UTC – Details)




    Publisher ‏ : ‎ Springer; 2009th edition (June 9, 2009)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 272 pages
    ISBN-10 ‏ : ‎ 0387886974
    ISBN-13 ‏ : ‎ 978-0387886978
    Item Weight ‏ : ‎ 2.31 pounds
    Dimensions ‏ : ‎ 6.1 x 0.62 x 9.25 inches

    Customers say

    Customers find the book readable and suitable for R users. However, some feel it’s not worth purchasing, as it lacks depth and spends too much time on results before ARIMA type models. Opinions differ on the introduction, with some finding it informative and useful, while others say it lacks sufficient information for analyses. There are also mixed reviews regarding the depth of the content, with some finding it thorough and appropriate for each topic, while others feel it lacks depth and is shallow.

    AI-generated from the text of customer reviews


    Are you interested in learning about time series analysis using R? Look no further! In this post, we will delve into the basics of time series analysis using the powerful programming language R.

    Time series analysis is a crucial tool in understanding and predicting trends in data that changes over time. Whether you are working with financial data, weather patterns, or any other time-dependent data, mastering time series analysis can give you valuable insights.

    R is a popular programming language among data scientists and statisticians for its robust packages and libraries designed specifically for time series analysis. In this post, we will take you through the fundamentals of time series analysis in R, covering topics such as data visualization, trend analysis, seasonality, and forecasting.

    So, if you are ready to dive into the world of time series analysis with R, stay tuned for our upcoming posts where we will explore this exciting field in more detail. Get your RStudio ready and let’s start analyzing some time series data!
    #Introductory #Time #Series,machine learning: an applied mathematics introduction

  • Using R for Introductory Statistics (Chapman & Hall/CRC The R Series)


    Price: $61.95 – $38.91
    (as of Jan 22,2025 08:54:17 UTC – Details)




    Publisher ‏ : ‎ Chapman and Hall/CRC; 1st edition (November 29, 2004)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 432 pages
    ISBN-10 ‏ : ‎ 1584884509
    ISBN-13 ‏ : ‎ 978-1584884507
    Item Weight ‏ : ‎ 1.6 pounds
    Dimensions ‏ : ‎ 6.75 x 1.25 x 9.5 inches

    Customers say

    Customers find this book provides an easy-to-understand introduction to R and basic statistics. It’s suitable for beginners, using a hands-on approach. Many consider it a helpful reference for their thesis projects and work. However, some customers feel the index is poor.

    AI-generated from the text of customer reviews


    Are you looking to dive into the world of statistics using R? Look no further than “Using R for Introductory Statistics,” part of the Chapman & Hall/CRC The R Series. This comprehensive book is perfect for beginners looking to gain a solid foundation in statistics using the powerful R programming language.

    With step-by-step guidance, clear explanations, and practical examples, this book covers essential statistical concepts such as hypothesis testing, regression analysis, and data visualization using R. Whether you’re a student, researcher, or data analyst, this book will help you develop the skills needed to analyze and interpret data effectively.

    So why wait? Pick up “Using R for Introductory Statistics” today and start mastering the fundamentals of statistics with R.
    #Introductory #Statistics #Chapman #HallCRC #Series,machine learning: an applied mathematics introduction

  • An Introductory Course in Computational Neuroscience (Computational Neuroscience

    An Introductory Course in Computational Neuroscience (Computational Neuroscience



    An Introductory Course in Computational Neuroscience (Computational Neuroscience

    Price : 33.86

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    Computational neuroscience is a rapidly growing field that combines principles of neuroscience, computer science, and mathematics to study how the brain processes information and generates behavior. If you’re interested in delving into this exciting field, an introductory course in computational neuroscience is a great place to start.

    In this course, you’ll learn about the basics of neural computation, how neurons communicate with each other, and how networks of neurons work together to produce complex behaviors. You’ll also explore the mathematical and computational tools used to model and simulate neural systems, and gain hands-on experience with programming languages commonly used in computational neuroscience, such as Python and MATLAB.

    Whether you’re a neuroscience student looking to expand your skillset or a computer science student interested in applying your knowledge to understanding the brain, an introductory course in computational neuroscience will provide you with a solid foundation in this interdisciplinary field. So why wait? Take the first step towards unlocking the mysteries of the brain with a course in computational neuroscience today!
    #Introductory #Computational #Neuroscience #Computational #Neuroscience

  • Data Mining: Introductory and Advanced Topics by Dunham, Margaret H., Good Book

    Data Mining: Introductory and Advanced Topics by Dunham, Margaret H., Good Book



    Data Mining: Introductory and Advanced Topics by Dunham, Margaret H., Good Book

    Price : 4.22

    Ends on : N/A

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    Are you interested in learning about data mining? Look no further than “Data Mining: Introductory and Advanced Topics” by Margaret H. Dunham. This book covers the basics of data mining and delves into more advanced topics, providing a comprehensive guide for anyone looking to expand their knowledge in this field. With clear explanations and practical examples, Dunham takes readers on a journey through the world of data mining, offering valuable insights and techniques along the way. Whether you’re a beginner or an experienced professional, this book is sure to enhance your understanding and skills in data mining. Don’t miss out on this valuable resource!
    #Data #Mining #Introductory #Advanced #Topics #Dunham #Margaret #Good #Book

  • Introductory Techniques for 3-D Computer Vision

    Introductory Techniques for 3-D Computer Vision


    Price: $131.00 – $105.41
    (as of Dec 24,2024 22:38:06 UTC – Details)




    Publisher ‏ : ‎ Prentice Hall (January 1, 1998)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 343 pages
    ISBN-10 ‏ : ‎ 0132611082
    ISBN-13 ‏ : ‎ 978-0132611084
    Item Weight ‏ : ‎ 1.57 pounds
    Dimensions ‏ : ‎ 7.5 x 0.75 x 9.5 inches


    3-D computer vision is a rapidly growing field that holds great promise for a wide range of applications, from augmented reality to robotics. If you’re new to the world of 3-D computer vision, here are some introductory techniques to help you get started:

    1. 3-D reconstruction: One of the fundamental tasks in 3-D computer vision is to reconstruct the 3-D structure of a scene from 2-D images. This can be done using techniques such as stereo vision, structure from motion, and depth sensing. By accurately reconstructing the 3-D structure of a scene, you can enable a wide range of applications, from virtual reality to object recognition.

    2. Camera calibration: Before you can accurately reconstruct a 3-D scene, you need to calibrate your cameras to ensure that they are accurately capturing the scene. Camera calibration involves determining the intrinsic and extrinsic parameters of your cameras, such as focal length, principal point, and lens distortion. By calibrating your cameras, you can ensure that your 3-D reconstructions are accurate and reliable.

    3. Object recognition: Another important task in 3-D computer vision is object recognition, which involves identifying and categorizing objects in a scene. This can be done using techniques such as feature extraction, machine learning, and deep learning. By accurately recognizing objects in a scene, you can enable applications such as autonomous driving, robotic manipulation, and augmented reality.

    4. Pose estimation: Pose estimation involves determining the position and orientation of objects in a scene. This can be done using techniques such as feature matching, point cloud registration, and pose optimization. By accurately estimating the pose of objects in a scene, you can enable applications such as robotic navigation, object tracking, and virtual reality.

    These are just a few introductory techniques for 3-D computer vision. As you delve deeper into the field, you’ll discover a wide range of techniques and algorithms that can help you tackle complex 3-D vision tasks. With the rapid advancement of technology and the increasing availability of 3-D sensors, the possibilities for 3-D computer vision are endless.
    #Introductory #Techniques #Computer #Vision

  • Introductory Semiconductor Device Physics by Greg Parker: Used

    Introductory Semiconductor Device Physics by Greg Parker: Used



    Introductory Semiconductor Device Physics by Greg Parker: Used

    Price : 20.96

    Ends on : N/A

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    Are you looking to dive deeper into the world of semiconductor device physics? Look no further than “Introductory Semiconductor Device Physics” by Greg Parker. This comprehensive textbook covers the fundamental principles and concepts behind semiconductor devices, making it an essential read for students and professionals in the field.

    Whether you are a beginner or an experienced practitioner, this book provides a solid foundation in semiconductor physics and device operation. With clear explanations and detailed examples, Parker guides readers through the complex world of semiconductor devices, making it easier to understand and apply in real-world scenarios.

    If you’re interested in learning more about semiconductor device physics, consider picking up a used copy of “Introductory Semiconductor Device Physics” by Greg Parker. You won’t be disappointed!
    #Introductory #Semiconductor #Device #Physics #Greg #Parker, Semiconductor

  • Medical Imaging Systems: An Introductory Guide (Lecture Notes in Computer Science Book 11111)

    Medical Imaging Systems: An Introductory Guide (Lecture Notes in Computer Science Book 11111)


    Price: $0.99
    (as of Dec 24,2024 08:46:07 UTC – Details)




    ASIN ‏ : ‎ B07FVNKYQS
    Publisher ‏ : ‎ Springer; 1st ed. 2018 edition (August 2, 2018)
    Publication date ‏ : ‎ August 2, 2018
    Language ‏ : ‎ English
    File size ‏ : ‎ 19346 KB
    Text-to-Speech ‏ : ‎ Not enabled
    Enhanced typesetting ‏ : ‎ Not Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 269 pages
    Format ‏ : ‎ Print Replica


    Medical Imaging Systems: An Introductory Guide (Lecture Notes in Computer Science Book 11111)

    Are you interested in learning about the fascinating world of medical imaging systems? Look no further than this comprehensive guide, which covers everything you need to know about the technology and applications of medical imaging.

    From X-rays to MRIs, this book explores the various types of imaging systems used in healthcare settings and their respective advantages and limitations. You will also learn about the role of computer science in enhancing and analyzing medical images, as well as the latest advancements in the field.

    Whether you are a student, healthcare professional, or simply curious about the inner workings of medical imaging, this book is a valuable resource for gaining a deeper understanding of this important area of healthcare technology. Don’t miss out on the opportunity to delve into the world of medical imaging systems with this informative guide.
    #Medical #Imaging #Systems #Introductory #Guide #Lecture #Notes #Computer #Science #Book

  • Deep Learning in Introductory Physics : Model-Based Reasoning by Mark Lattery

    Deep Learning in Introductory Physics : Model-Based Reasoning by Mark Lattery



    Deep Learning in Introductory Physics : Model-Based Reasoning by Mark Lattery

    Price : 43.00

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    Deep Learning in Introductory Physics: Model-Based Reasoning by Mark Lattery

    In the world of physics education, the concept of deep learning is gaining traction as educators seek new ways to engage students and enhance their understanding of complex scientific principles. One educator who is at the forefront of this movement is Mark Lattery, a professor of physics at the University of Wisconsin-Oshkosh.

    Lattery’s approach to teaching physics revolves around the idea of model-based reasoning, which involves using conceptual models to explain and predict physical phenomena. By encouraging students to think in terms of these models, rather than simply memorizing equations and formulas, Lattery believes that students can develop a deeper, more intuitive understanding of physics.

    Through his research and teaching, Lattery has found that incorporating deep learning techniques, such as active learning strategies and collaborative problem-solving activities, can help students make connections between different concepts and apply their knowledge in new and unfamiliar situations. By engaging students in hands-on experiments and real-world applications, Lattery aims to foster a sense of curiosity and exploration that will inspire them to pursue further study in physics.

    Overall, Lattery’s work in the field of deep learning in introductory physics represents an exciting new direction for physics education, one that promises to revolutionize the way students learn and engage with the subject. By encouraging students to think like scientists and approach problems from a model-based perspective, Lattery is equipping the next generation of physicists with the skills and knowledge they need to succeed in an ever-changing world.
    #Deep #Learning #Introductory #Physics #ModelBased #Reasoning #Mark #Lattery

  • Cengage Learning eBook for Beskeen/Cram/Duffy/Friedrichsen/Reding’s Microsoft Office 2010: Illustrated Introductory, First Course, 1st Edition

    Cengage Learning eBook for Beskeen/Cram/Duffy/Friedrichsen/Reding’s Microsoft Office 2010: Illustrated Introductory, First Course, 1st Edition


    Price: $126.95
    (as of Dec 20,2024 03:05:07 UTC – Details)



    Please check the ISBN that your instructor provided. If the ISBN-13 does not match this product (9781111673949) this may not be the correct product. In some cases, you may also require a course code from your Instructor.


    Language ‏ : ‎ English
    Date First Available ‏ : ‎ August 6, 2014
    Manufacturer ‏ : ‎ Cengage Learning
    ASIN ‏ : ‎ B00MHG3BQ0

    ISBN: 9781111673949
    Access to this product is valid for 180 days after initial login. After this period, this product can be viewed under the “view expired” link in your CengageBrain account.


    Unlock the power of Microsoft Office 2010 with the Cengage Learning eBook for Beskeen/Cram/Duffy/Friedrichsen/Reding’s “Microsoft Office 2010: Illustrated Introductory, First Course, 1st Edition.” This comprehensive guide will walk you through the essential tools and features of Word, Excel, PowerPoint, and Access.

    With step-by-step instructions and vibrant illustrations, you’ll be able to master the basics of each program and learn how to create professional-quality documents, spreadsheets, presentations, and databases. Whether you’re a beginner or looking to enhance your skills, this eBook is the perfect resource to help you succeed in the world of Microsoft Office.

    Don’t miss out on this valuable learning tool. Get your hands on the Cengage Learning eBook for “Microsoft Office 2010: Illustrated Introductory, First Course, 1st Edition” today and take your skills to the next level.
    #Cengage #Learning #eBook #BeskeenCramDuffyFriedrichsenRedings #Microsoft #Office #Illustrated #Introductory #1st #Edition

  • CourseMate (with eBook) for Shelly/Vermaat’s Microsoft Office 2010: Introductory, 3rd Edition

    CourseMate (with eBook) for Shelly/Vermaat’s Microsoft Office 2010: Introductory, 3rd Edition


    Price: $168.00
    (as of Dec 20,2024 02:03:31 UTC – Details)



    Please check the ISBN that your instructor provided. If the ISBN-13 does not match this product (9781133661528) or its Printed Access Card equivalent (9781133661535) this may not be the correct product. In some cases, you may also require a course code from your Instructor.

    The more you study, the better the results. Make the most of your study time by accessing everything you need to succeed in one place. Read your textbook, take notes, review flashcards, watch videos, and take practice quizzes-online with CourseMate.
    Language ‏ : ‎ English
    Date First Available ‏ : ‎ August 6, 2014
    Manufacturer ‏ : ‎ Cengage Learning-158940-158940
    ASIN ‏ : ‎ B00MH8H4JI

    ISBN: 9781133661528
    Access to this product is valid for 180 days from initial log-in. After this period, this product can be viewed under the “view expired” link in your CengageBrain account.


    Are you looking for a comprehensive resource to help you master Microsoft Office 2010? Look no further than CourseMate with eBook for Shelly/Vermaat’s Microsoft Office 2010: Introductory, 3rd Edition.

    This dynamic online learning platform offers a wealth of interactive tools and resources to enhance your understanding of Microsoft Office applications. From practice quizzes and flashcards to interactive simulations and video tutorials, CourseMate provides everything you need to succeed in your Microsoft Office 2010 course.

    With the convenience of an eBook, you can access your course materials anytime, anywhere. Whether you’re studying at home or on the go, CourseMate makes it easy to stay on top of your coursework.

    Don’t wait any longer to take your Microsoft Office skills to the next level. Get CourseMate with eBook for Shelly/Vermaat’s Microsoft Office 2010: Introductory, 3rd Edition today and start mastering Office 2010 like a pro.
    #CourseMate #eBook #ShellyVermaats #Microsoft #Office #Introductory #3rd #Edition

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