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Models Demystified : A Practical Guide From Linear Regression to Deep Learning

Bibliographic Details
Title: Models Demystified : A Practical Guide From Linear Regression to Deep Learning
Description: Unlock the Power of Data Science and Machine LearningIn this comprehensive guide, we delve into the world of data science, machinelearning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems. From basic modeling techniques to advanced machine learning algorithms, this book covers a wide range of topics,ensuring that readers at all levels can benefit from its content. Each chapter is meticulously crafted to offer clear explanations, hands-on examples, and code snippets in both Python and R, making complex concepts accessible and actionable. Additional focus is placed on model interpretation and estimation, common data issues, modeling pitfalls to avoid, and best practices for modeling in general.
Authors: Michael Clark, Seth Berry
Resource Type: eBook.
Subjects: Electronic data processing--Structured techniques, Data mining--Statistical methods, Statistics--Data processing
Categories: MATHEMATICS / Probability & Statistics / General
Database: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 4228788
RelevancyScore: 987
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 987.310668945313
IllustrationInfo
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  Data: Models Demystified : A Practical Guide From Linear Regression to Deep Learning
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  Data: Unlock the Power of Data Science and Machine LearningIn this comprehensive guide, we delve into the world of data science, machinelearning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems. From basic modeling techniques to advanced machine learning algorithms, this book covers a wide range of topics,ensuring that readers at all levels can benefit from its content. Each chapter is meticulously crafted to offer clear explanations, hands-on examples, and code snippets in both Python and R, making complex concepts accessible and actionable. Additional focus is placed on model interpretation and estimation, common data issues, modeling pitfalls to avoid, and best practices for modeling in general.
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      – Code: 006.312
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Electronic data processing--Structured techniques
        Type: general
      – SubjectFull: Data mining--Statistical methods
        Type: general
      – SubjectFull: Statistics--Data processing
        Type: general
    Titles:
      – TitleFull: Models Demystified : A Practical Guide From Linear Regression to Deep Learning
        Type: main
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            NameFull: Michael Clark
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            NameFull: Seth Berry
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          Name:
            NameFull: Michael Clark
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            NameFull: Seth Berry
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2026
            – D: 14
              M: 07
              Type: profile
              Y: 2025
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              Value: 9781003451501
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          Titles:
            – TitleFull: Models Demystified : A Practical Guide From Linear Regression to Deep Learning
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