はっきりわかるデータサイエンスと機械学習
はっきりわかるデータサイエンスと機械学習
はっきりわかるデータサイエンスと機械学習
はっきりわかるデータサイエンスと機械学習
はっきりわかるデータサイエンスと機械学習
はっきりわかるデータサイエンスと機械学習
はっきりわかるデータサイエンスと機械学習
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はっきりわかるデータサイエンスと機械学習
はっきりわかるデータサイエンスと機械学習
はっきりわかるデータサイエンスと機械学習
はっきりわかるデータサイエンスと機械学習
はっきりわかるデータサイエンスと機械学習
はっきりわかるデータサイエンスと機械学習
はっきりわかるデータサイエンスと機械学習
Learn the essence of exploratory data analysis and machine learning with clear insights into AI transparency.
はっきりわかるデータサイエンスと機械学習
Articolo #: 87923793

はっきりわかるデータサイエンスと機械学習

Articolo #: 87923793

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Perspectivas completas
This hardcover edition provides thorough coverage of data science and machine learning, addressing both fundamental theories and practical applications for aspiring data professionals and students.
Expert Authorship
Authored by industry experts, it offers credible insights and best practices, making it a trusted resource for learning and mastering complex concepts in data analysis and machine learning.
Durable Format
The tankobon hardcover format ensures durability and longevity, making it an ideal addition to any study space or professional library, perfect for repeated reference and study over time.

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Shop はっきりわかるデータサイエンスと機械学習 online at a best price in San Marino. 4764906120
  • AIの要である機械学習は、結果を導き出す過程がブラックボックス化する問題があり、AI実用化の障害となっている。その解決策として、丹念なデータ分析によりデータの背景にある現象を統計モデルで表現する、本来の意味での「データサイエンス」の活用が期待されている。メカニズムが理解可能なモデルをAIの頭脳に使うことで、AIの透明化――すなわち説明可能なXAIも実現できる! 本書ではデータサイエンスの考えに基づく統計モデリングの解説に加え、機械学習の代表的な手法を Rを用いて体験していく。本書を読み込めば、探索的データ解析と機械学習、それぞれの本質を学ぶことができる。 
Editor近代科学社
Fecha de publicaciónMay 29, 2020
LanguageJapanese
Imprimir longitud236 pages
ISBN-104764906120
ISBN-13978-4764906129
Peso del artículo440 g
Dimensiones9.13 x 7.13 x 0.47 inches (23.2 x 18.1 x 1.2 cm)

A chi è consigliato?

Suitable For
  • Aspiring Data Scientists

    Individuals looking to build a foundational understanding of data science will benefit from clear and practical explanations.

  • Educators and Trainers

    Teachers needing a comprehensive resource to educate students about data science and machine learning concepts will find this useful.

  • Professionals Transitioning Fields

    Industry professionals aiming to shift into data science roles will gain valuable insights and skills from this book.

Not Suitable For
  • Advanced Practitioners

    Experienced data scientists may find the book's content too basic and not aligned with their advanced learning needs.

  • Lectores Casual

    Individuals not seriously engaged in data science might not find the technical material interesting or relevant to them.

  • Non-Technical Users

    Readers without a technical background may struggle with the jargon and concepts presented, limiting their comprehension.

DESCRIZIONE DEL PRODOTTO

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Domande e risposte dei clienti

  • domanda: What prior knowledge do I need to understand this book?

    Rispondere: Basic knowledge of statistics and programming in R will enhance your experience.
  • domanda: Is this book suitable for beginners in data science?

    Rispondere: Yes, it is designed to help beginners grasp the fundamental concepts effectively.
  • domanda: Will I be able to apply the concepts learned in this book in real-world scenarios?

    Rispondere: Absolutely! The book focuses on practical applications of machine learning and data analysis.

横内大介 , 大槻健太郎 AI & Machine Learning Editorial Review

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  • Highly effective learning tool
  • User-friendly interface
  • Engaging content and activities
  • Supports various learning styles
  • Regular updates and improvements

Contro

  • Might have a small learning curve initially.

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€ 29

Ordina subito e indossalo Sunday, Giugno 28

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Solo 1 articolo rimasto in magazzino.
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

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Caratteristiche e benefici

  • Unlock the complexities of machine learning with clear explanations.
  • Utilize data science to demystify the black box of AI.
  • Achieve AI transparency with understandable statistical models.
  • Experience hands-on learning with R for practical machine learning methods.
  • Master exploratory data analysis for deeper insights.
  • Perfect for anyone looking to enhance their understanding of AI and data science.