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Artigo n.º:
87923793
Clear data science and machine learning
Artigo n.º:
87923793
CVE 3461
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Learn the essence of exploratory data analysis and machine learning with clear insights into AI transparency.
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O que se Destaca
Comprehensive Insights
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.
Detalhes do produto
- Machine learning, which is the cornerstone of AI, has the problem of turning the process of deriving results into a black box, which is an obstacle to the practical application of AI. As a solution to this problem, it is expected to utilize ''data science'' in its original sense, which uses careful data analysis to express phenomena behind data using statistical models. By using models with understandable mechanisms in the AI brain, we can also achieve AI transparency ――, or explainable XAI! In addition to explaining statistical modeling based on the ideas of data science, this book uses R to experience typical machine learning methods. By reading this book, you can learn the essence of exploratory data analysis and machine learning.
| Publisher | 近代科学社 |
| Publication date | May 29, 2020 |
| Language | Japanese |
| Print length | 236 pages |
| ISBN-10 | 4764906120 |
| ISBN-13 | 978-4764906129 |
| Item Weight | 440 g |
| Dimensions | 9.13 x 7.13 x 0.47 inches (23.2 x 18.1 x 1.2 cm) |
Quem Deverá Comprar?
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Aspiring Data Scientists
Individuals looking to build a foundational understanding of data science will benefit from clear and practical explanations.
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Educators and Trainers
Teachers needing a comprehensive resource to educate students about data science and machine learning concepts will find this useful.
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Professionals Transitioning Fields
Industry professionals aiming to shift into data science roles will gain valuable insights and skills from this book.
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Advanced Practitioners
Experienced data scientists may find the book's content too basic and not aligned with their advanced learning needs.
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Casual Readers
Individuals not seriously engaged in data science might not find the technical material interesting or relevant to them.
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Non-Technical Users
Readers without a technical background may struggle with the jargon and concepts presented, limiting their comprehension.
DESCRIÇÃO DO PRODUTO
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Perguntas e Respostas dos Clientes
-
pergunta:
What prior knowledge do I need to understand this book?
Resposta: Basic knowledge of statistics and programming in R will enhance your experience. -
pergunta:
Is this book suitable for beginners in data science?
Resposta: Yes, it is designed to help beginners grasp the fundamental concepts effectively. -
pergunta:
Will I be able to apply the concepts learned in this book in real-world scenarios?
Resposta: 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
Nenhuma revisão editorial encontrada
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Prós
- Highly effective learning tool
- User-friendly interface
- Engaging content and activities
- Supports various learning styles
- Regular updates and improvements
Contras
- Might have a small learning curve initially.
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CVE 3461
Encomende já e receba por volta de Sunday, Junho 28
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Recursos e benefícios
- 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.